Hey I can't believe it, I fixed it...
This commit is contained in:
blacklight
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37995f75c2
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ChangeLog
17
ChangeLog
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@ -1,3 +1,18 @@
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--- Release 0.4 ---
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2009-08-15 BlackLight <blacklight@autistici.org>
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* Makefile: Now you compile Neural++ with -Wall -pedantic
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-pedantic-errors -ansi. And you won't get a single error. I love writing
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pedantic, pure ISO C++ code...
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* all: Hey I can't believe it guys, I've fixed that horrible bug an
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neural output won't diverge anymore ^^
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Also removed the 'deriv' parameter, as function pointer. It was just
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useless, as once you have an activation function, you can compute its
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derivate in any points. But, of course, this makes old codes no more
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compatible with this new version.
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--- Release 0.3 ---
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2009-08-09 BlackLight <blacklight@autistici.org>
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@ -6,7 +21,7 @@
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* neural++.hpp: Changed header name, added BETA0 macro
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* synapsis.cpp: Added momentum() method to compute the inertial momentum
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of a synapsis
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* everything: Data type changed from float to double for everything,
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* all: Data type changed from float to double for everything,
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fixing neuralpp namespace, fixed indentation, fixed exception throwing,
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fixed documentation
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2
Makefile
2
Makefile
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@ -3,7 +3,7 @@ INCLUDEDIR=include
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PREFIX=/usr
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LIB=neural++
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CC=g++
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CFLAGS=-Wall -pedantic -pedantic-errors
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CFLAGS=-Wall -pedantic -pedantic-errors -ansi
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all:
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${CC} -I${INCLUDEDIR} ${CFLAGS} -fPIC -g -c ${SRCDIR}/neuralnet.cpp
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2
TODO
2
TODO
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@ -1,2 +1,2 @@
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Restyling for templates (now compatible only with neural networks of floats).
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Restyling for templates (now compatible only with neural networks operating on 'double' real numbers).
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@ -660,7 +660,7 @@
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<a name="l00644"></a>00644
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<a name="l00645"></a>00645 <span class="preprocessor">#endif // !defined(_MARKUP_H_INCLUDED_)</span>
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</pre></div></div>
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<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
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<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
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<a href="http://www.doxygen.org/index.html">
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<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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</body>
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@ -1031,7 +1031,7 @@
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</div>
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</div><p>
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</div>
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<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
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<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
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<a href="http://www.doxygen.org/index.html">
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<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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</body>
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@ -44,7 +44,7 @@
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<tr><td class="indexkey"><a class="el" href="structneuralpp_1_1synrecord.html">neuralpp::synrecord</a></td><td class="indexvalue"></td></tr>
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</table>
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</div>
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<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
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<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
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<a href="http://www.doxygen.org/index.html">
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<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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</body>
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@ -212,7 +212,7 @@
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<tr class="memlist"><td><a class="el" href="classCMarkup.html#f3b30bc5314bbc8d157dca6d924f4852">x_WriteText</a>(const MCD_STR &strDoc, FilePos &file)</td><td><a class="el" href="classCMarkup.html">CMarkup</a></td><td><code> [protected, static]</code></td></tr>
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<tr class="memlist"><td><a class="el" href="classCMarkup.html#8aa2cd9b38b3e173d2149914c59eb2b7">~CMarkup</a>()</td><td><a class="el" href="classCMarkup.html">CMarkup</a></td><td><code> [inline]</code></td></tr>
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</table></div>
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<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
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<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
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<a href="http://www.doxygen.org/index.html">
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<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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</body>
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@ -4478,7 +4478,7 @@
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<hr>The documentation for this class was generated from the following file:<ul>
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<li><a class="el" href="Markup_8h-source.html">Markup.h</a></ul>
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</div>
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<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
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<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
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<a href="http://www.doxygen.org/index.html">
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<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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</body>
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@ -24,19 +24,18 @@
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<div class="contents">
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<h1>neuralpp::Layer Member List</h1>This is the complete list of members for <a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a>, including all inherited members.<p><table>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#824367da29f92253a027a7c5b4a4405e">actv_f</a></td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td><code> [private]</code></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#a0207b14ba80aaf03502749ecb7d23fa">deriv</a></td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td><code> [private]</code></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#855685c9da56b06b629e13a2f8c719ce">elements</a></td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td><code> [private]</code></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#411a4dc8a1bb2fe44fe7a69fa50fd764">Layer</a>(size_t sz, double(*a)(double), double(*d)(double))</td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#117d1c3b481641816e80ea36826d2107">Layer</a>(vector< Neuron > &neurons, double(*a)(double), double(*d)(double))</td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#fb08bddd85d36570dabfe915461f07c5">Layer</a>(size_t sz, double(*a)(double))</td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#609ed16b8d79dc384b01ba7d16b72bd1">Layer</a>(vector< Neuron > &neurons, double(*a)(double))</td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#ac33444fde14633fa1ad4acb024ad150">link</a>(Layer &l)</td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#45ff7554830558155c6fbce3b6827122">operator[]</a>(size_t i)</td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#fcfd306039dbaf91c9e2dcc8fc1f1ce1">propagate</a>()</td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#98f79281b680b1d18fd91fa5794c0899">setActv</a>(vector< double > &v)</td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#dbad95f635343a2998794113d7762cf7">setProp</a>(vector< double > &v)</td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#c8d2f7513e5d40518f9dddfd1e3ddcc5">size</a>()</td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#7ca71ed62fbe9c1e9c0fb6a8dcaf76f0">size</a>() const </td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td></td></tr>
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<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Layer.html#c023a15a16353d0b4f44060a159f550f">update_weights</a></td><td><a class="el" href="classneuralpp_1_1Layer.html">neuralpp::Layer</a></td><td><code> [private]</code></td></tr>
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</table></div>
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<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
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||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
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<a href="http://www.doxygen.org/index.html">
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<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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</body>
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@ -34,13 +34,13 @@
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<a href="classneuralpp_1_1Layer-members.html">List of all members.</a><table border="0" cellpadding="0" cellspacing="0">
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<tr><td></td></tr>
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<tr><td colspan="2"><br><h2>Public Member Functions</h2></td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#411a4dc8a1bb2fe44fe7a69fa50fd764">Layer</a> (size_t sz, double(*a)(double), double(*d)(double))</td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#fb08bddd85d36570dabfe915461f07c5">Layer</a> (size_t sz, double(*a)(double))</td></tr>
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<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#411a4dc8a1bb2fe44fe7a69fa50fd764"></a><br></td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#117d1c3b481641816e80ea36826d2107">Layer</a> (vector< <a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> > &neurons, double(*a)(double), double(*d)(double))</td></tr>
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<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#fb08bddd85d36570dabfe915461f07c5"></a><br></td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#609ed16b8d79dc384b01ba7d16b72bd1">Layer</a> (vector< <a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> > &neurons, double(*a)(double))</td></tr>
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<tr><td class="mdescLeft"> </td><td class="mdescRight">Alternative constructor. <a href="#117d1c3b481641816e80ea36826d2107"></a><br></td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#45ff7554830558155c6fbce3b6827122">operator[]</a> (size_t i)</td></tr>
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<tr><td class="mdescLeft"> </td><td class="mdescRight">Alternative constructor. <a href="#609ed16b8d79dc384b01ba7d16b72bd1"></a><br></td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#45ff7554830558155c6fbce3b6827122">operator[]</a> (size_t i) throw (NetworkIndexOutOfBoundsException)</td></tr>
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<tr><td class="mdescLeft"> </td><td class="mdescRight">Redefinition for operator []. <a href="#45ff7554830558155c6fbce3b6827122"></a><br></td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#ac33444fde14633fa1ad4acb024ad150">link</a> (<a class="el" href="classneuralpp_1_1Layer.html">Layer</a> &l)</td></tr>
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@ -55,7 +55,7 @@
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<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#fcfd306039dbaf91c9e2dcc8fc1f1ce1">propagate</a> ()</td></tr>
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<tr><td class="mdescLeft"> </td><td class="mdescRight">It propagates its activation values to the output layers. <a href="#fcfd306039dbaf91c9e2dcc8fc1f1ce1"></a><br></td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#c8d2f7513e5d40518f9dddfd1e3ddcc5">size</a> ()</td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#7ca71ed62fbe9c1e9c0fb6a8dcaf76f0">size</a> () const </td></tr>
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<tr><td colspan="2"><br><h2>Private Attributes</h2></td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">vector< <a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#855685c9da56b06b629e13a2f8c719ce">elements</a></td></tr>
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@ -64,14 +64,12 @@
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<tr><td class="memItemLeft" nowrap align="right" valign="top">double(* </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#824367da29f92253a027a7c5b4a4405e">actv_f</a> )(double)</td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">double(* </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#a0207b14ba80aaf03502749ecb7d23fa">deriv</a> )(double)</td></tr>
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</table>
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<hr><a name="_details"></a><h2>Detailed Description</h2>
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Class for managing layers of neurons.
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<p>
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Don't use this class directly unless you know what you're doing, use <a class="el" href="classneuralpp_1_1NeuralNet.html" title="Main project's class.">NeuralNet</a> instead <hr><h2>Constructor & Destructor Documentation</h2>
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<a class="anchor" name="411a4dc8a1bb2fe44fe7a69fa50fd764"></a><!-- doxytag: member="neuralpp::Layer::Layer" ref="411a4dc8a1bb2fe44fe7a69fa50fd764" args="(size_t sz, double(*a)(double), double(*d)(double))" -->
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<a class="anchor" name="fb08bddd85d36570dabfe915461f07c5"></a><!-- doxytag: member="neuralpp::Layer::Layer" ref="fb08bddd85d36570dabfe915461f07c5" args="(size_t sz, double(*a)(double))" -->
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<div class="memitem">
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<div class="memproto">
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<table class="memname">
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@ -85,13 +83,7 @@ Don't use this class directly unless you know what you're doing, use <a class="e
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">double(*)(double) </td>
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<td class="paramname"> <em>a</em>, </td>
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</tr>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">double(*)(double) </td>
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<td class="paramname"> <em>d</em></td><td> </td>
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<td class="paramname"> <em>a</em></td><td> </td>
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</tr>
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<tr>
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<td></td>
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@ -109,13 +101,12 @@ Constructor.
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<table border="0" cellspacing="2" cellpadding="0">
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<tr><td valign="top"></td><td valign="top"><em>sz</em> </td><td>Size of the layer </td></tr>
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<tr><td valign="top"></td><td valign="top"><em>a</em> </td><td>Activation function </td></tr>
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<tr><td valign="top"></td><td valign="top"><em>d</em> </td><td>Its derivate </td></tr>
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</table>
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</dl>
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</div>
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</div><p>
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<a class="anchor" name="117d1c3b481641816e80ea36826d2107"></a><!-- doxytag: member="neuralpp::Layer::Layer" ref="117d1c3b481641816e80ea36826d2107" args="(vector< Neuron > &neurons, double(*a)(double), double(*d)(double))" -->
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<a class="anchor" name="609ed16b8d79dc384b01ba7d16b72bd1"></a><!-- doxytag: member="neuralpp::Layer::Layer" ref="609ed16b8d79dc384b01ba7d16b72bd1" args="(vector< Neuron > &neurons, double(*a)(double))" -->
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<div class="memitem">
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<div class="memproto">
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<table class="memname">
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@ -129,13 +120,7 @@ Constructor.
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">double(*)(double) </td>
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<td class="paramname"> <em>a</em>, </td>
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</tr>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">double(*)(double) </td>
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<td class="paramname"> <em>d</em></td><td> </td>
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<td class="paramname"> <em>a</em></td><td> </td>
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</tr>
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<tr>
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<td></td>
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@ -153,7 +138,6 @@ It directly gets a vector of neurons to build the layer <dl compact><dt><b>Param
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<table border="0" cellspacing="2" cellpadding="0">
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<tr><td valign="top"></td><td valign="top"><em>neurons</em> </td><td>Vector of neurons to be included in the layer </td></tr>
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<tr><td valign="top"></td><td valign="top"><em>a</em> </td><td>Activation function </td></tr>
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<tr><td valign="top"></td><td valign="top"><em>d</em> </td><td>Its derivate </td></tr>
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</table>
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</dl>
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@ -170,7 +154,7 @@ It directly gets a vector of neurons to build the layer <dl compact><dt><b>Param
|
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<td class="paramtype">size_t </td>
|
||||
<td class="paramname"> <em>i</em> </td>
|
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<td> ) </td>
|
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<td></td>
|
||||
<td> throw (NetworkIndexOutOfBoundsException)</td>
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</tr>
|
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</table>
|
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</div>
|
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@ -290,7 +274,7 @@ It propagates its activation values to the output layers.
|
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|
||||
</div>
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</div><p>
|
||||
<a class="anchor" name="c8d2f7513e5d40518f9dddfd1e3ddcc5"></a><!-- doxytag: member="neuralpp::Layer::size" ref="c8d2f7513e5d40518f9dddfd1e3ddcc5" args="()" -->
|
||||
<a class="anchor" name="7ca71ed62fbe9c1e9c0fb6a8dcaf76f0"></a><!-- doxytag: member="neuralpp::Layer::size" ref="7ca71ed62fbe9c1e9c0fb6a8dcaf76f0" args="() const " -->
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<div class="memitem">
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<div class="memproto">
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<table class="memname">
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@ -299,7 +283,7 @@ It propagates its activation values to the output layers.
|
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<td>(</td>
|
||||
<td class="paramname"> </td>
|
||||
<td> ) </td>
|
||||
<td></td>
|
||||
<td> const</td>
|
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</tr>
|
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</table>
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</div>
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@ -354,27 +338,12 @@ It propagates its activation values to the output layers.
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|
||||
<p>
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||||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="a0207b14ba80aaf03502749ecb7d23fa"></a><!-- doxytag: member="neuralpp::Layer::deriv" ref="a0207b14ba80aaf03502749ecb7d23fa" args=")(double)" -->
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<div class="memitem">
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<div class="memproto">
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<table class="memname">
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<tr>
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<td class="memname">double(* <a class="el" href="classneuralpp_1_1Layer.html#a0207b14ba80aaf03502749ecb7d23fa">neuralpp::Layer::deriv</a>)(double)<code> [private]</code> </td>
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</tr>
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</table>
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</div>
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<div class="memdoc">
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<p>
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||||
</div>
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</div><p>
|
||||
<hr>The documentation for this class was generated from the following file:<ul>
|
||||
<li><a class="el" href="neural_09_09_8hpp-source.html">neural++.hpp</a></ul>
|
||||
</div>
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||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
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<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
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<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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</body>
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@ -26,38 +26,37 @@
|
|||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#c1469e6afd87d85b82f14bc246f82457">actv_f</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#28b9966c5f197b8e86d57dd104aa32a6">closeXML</a>(string &xml)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [static]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#62695a82dfb1df758a44150921aec8e0">commitChanges</a>(Layer *l)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#df44689f4e6201ca1ddc67655cce3576">deriv</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#4cb52dae7b43d03fac73afca7b9f3a51">epochs</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#8a140d28e6dd4097470c7c138801ad01">error</a>(double ex)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#0616c51404efaca2714e37dd7478997e">error</a>(double ex) const </td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">ex</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#423fd38a61d79905dcc12da84c805114">expected</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#562dfe9fb8d73bf25a23ce608451d3aa">expected</a>() const </td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f5ec2727c0756ddb097b53efe49b81afb">file</a> enum value</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#7de7ee318eeb791d21a01e9e9e0e8c5a">getOutput</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#961dce8913264bf64c899dce4e25f810">getOutput</a>() const </td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#a6b8bf3800b43b58843c65fc431207ae">getOutputs</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#bbdaa1b6c0a1a95d2b18cd25fda2a266">hidden</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#bbdaa1b6c0a1a95d2b18cd25fda2a266">hidden</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#45c7645d4affe65752d37cd230afba24">initXML</a>(string &xml)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [static]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#e2b4e8405f9d25edab395d61502bdba9">input</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#e2b4e8405f9d25edab395d61502bdba9">input</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#6bd7be443e46b2fdbf1da2edb8e611ab">l_rate</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#46f23f462318a4ffc037a4e806364c3f">link</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#92b145f2f6f00bf1ba645ce2235882c2">NeuralNet</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [inline]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#c79534c7c0dfb20d1d03be2ad7569b78">NeuralNet</a>(size_t in_size, size_t hidden_size, size_t out_size, double l, int e)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#88380cb002edcccf11b59f6d3f6c94c9">NeuralNet</a>(const char *file)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#b4b261f7f7fa93c45855288fd66cfdca">NeuralNet</a>(size_t in_size, size_t hidden_size, size_t out_size, double(*actv)(double), double(*deriv)(double), double l, int e)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#fa9b2dbcbb39d0fc70f790ac24069a74">output</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#7fc7fc3e3220c138ffa5356fef6b9757">NeuralNet</a>(const string file)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#0c16df2e0701503052c63749930b238e">NeuralNet</a>(size_t in_size, size_t hidden_size, size_t out_size, double(*actv)(double), double l, int e)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#fa9b2dbcbb39d0fc70f790ac24069a74">output</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#c129c180647362da963758bfd1ba6890">propagate</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#4f88106c9e542c39eac43b4ca1974a2a">ref_epochs</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#5db8d6ba4785f732da6e642b4f8f11a0">save</a>(const char *fname)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#fdf94c276720c25e565cac834fe8a407">save</a>(const char *fname)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#b6475762b7e9eab086befdc511f7c236">setExpected</a>(double ex)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#0de170e8ab561ad63d0739b4c4b74f68">setInput</a>(vector< double > &v)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f">source</a> enum name</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#e07af23ceb8666518da0c035bf1e0376">split</a>(char delim, string str)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [static]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f6d06b4fe9414a158c97aee1a3679a904">str</a> enum value</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#e8b8741d28bec1354db555eabe418cb6">train</a>(string xml, source xrc)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#ead4bdef0602a5cadbe3beb685e01f5f">train</a>(string xml, source src)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#b0bd1daadb06980dff1f50d33a7c098e">update</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#94169c89a7cd47122ab5dbf1d5c5e108">updateWeights</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#4be31ecb0b543a192997bd83c6995ccb">XMLFromSet</a>(int id, string set)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [static]</code></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
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|
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|
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@ -46,21 +46,21 @@
|
|||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#c79534c7c0dfb20d1d03be2ad7569b78">NeuralNet</a> (size_t in_size, size_t hidden_size, size_t out_size, double l, int e)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#c79534c7c0dfb20d1d03be2ad7569b78"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#88380cb002edcccf11b59f6d3f6c94c9">NeuralNet</a> (const char *file) throw (NetworkFileNotFoundException)</td></tr>
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||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#7fc7fc3e3220c138ffa5356fef6b9757">NeuralNet</a> (const string file) throw (NetworkFileNotFoundException)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#88380cb002edcccf11b59f6d3f6c94c9"></a><br></td></tr>
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||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#b4b261f7f7fa93c45855288fd66cfdca">NeuralNet</a> (size_t in_size, size_t hidden_size, size_t out_size, double(*actv)(double), double(*<a class="el" href="classneuralpp_1_1NeuralNet.html#df44689f4e6201ca1ddc67655cce3576">deriv</a>)(double), double l, int e)</td></tr>
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#7fc7fc3e3220c138ffa5356fef6b9757"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#0c16df2e0701503052c63749930b238e">NeuralNet</a> (size_t in_size, size_t hidden_size, size_t out_size, double(*actv)(double), double l, int e)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#b4b261f7f7fa93c45855288fd66cfdca"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#7de7ee318eeb791d21a01e9e9e0e8c5a">getOutput</a> ()</td></tr>
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#0c16df2e0701503052c63749930b238e"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#961dce8913264bf64c899dce4e25f810">getOutput</a> () const </td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">It gets the output of the network (note: the layer output should contain an only neuron). <a href="#7de7ee318eeb791d21a01e9e9e0e8c5a"></a><br></td></tr>
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">It gets the output of the network (note: the layer output should contain an only neuron). <a href="#961dce8913264bf64c899dce4e25f810"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">vector< double > </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#a6b8bf3800b43b58843c65fc431207ae">getOutputs</a> ()</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">It gets the output of the network in case the output layer contains more neurons. <a href="#a6b8bf3800b43b58843c65fc431207ae"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#423fd38a61d79905dcc12da84c805114">expected</a> ()</td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#562dfe9fb8d73bf25a23ce608451d3aa">expected</a> () const </td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">It gets the value expected. <a href="#423fd38a61d79905dcc12da84c805114"></a><br></td></tr>
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">It gets the value expected. <a href="#562dfe9fb8d73bf25a23ce608451d3aa"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#b6475762b7e9eab086befdc511f7c236">setExpected</a> (double <a class="el" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">ex</a>)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">It sets the value you expect from your network. <a href="#b6475762b7e9eab086befdc511f7c236"></a><br></td></tr>
|
||||
|
|
@ -76,12 +76,12 @@
|
|||
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#46f23f462318a4ffc037a4e806364c3f">link</a> ()</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">It links the layers of the network (input, hidden, output). <a href="#46f23f462318a4ffc037a4e806364c3f"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#5db8d6ba4785f732da6e642b4f8f11a0">save</a> (const char *fname)</td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#fdf94c276720c25e565cac834fe8a407">save</a> (const char *fname) throw (NetworkFileWriteException)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Save a trained neural network to a binary file. <a href="#5db8d6ba4785f732da6e642b4f8f11a0"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#e8b8741d28bec1354db555eabe418cb6">train</a> (string xml, <a class="el" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f">source</a> xrc) throw (InvalidXMLException)</td></tr>
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Save a trained neural network to a binary file. <a href="#fdf94c276720c25e565cac834fe8a407"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#ead4bdef0602a5cadbe3beb685e01f5f">train</a> (string xml, <a class="el" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f">source</a> src) throw (InvalidXMLException)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Train a network using a training set loaded from an XML file. <a href="#e8b8741d28bec1354db555eabe418cb6"></a><br></td></tr>
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Train a network using a training set loaded from an XML file. <a href="#ead4bdef0602a5cadbe3beb685e01f5f"></a><br></td></tr>
|
||||
<tr><td colspan="2"><br><h2>Static Public Member Functions</h2></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">static void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#45c7645d4affe65752d37cd230afba24">initXML</a> (string &xml)</td></tr>
|
||||
|
||||
|
|
@ -95,6 +95,13 @@
|
|||
<tr><td class="memItemLeft" nowrap align="right" valign="top">static void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#28b9966c5f197b8e86d57dd104aa32a6">closeXML</a> (string &xml)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Closes an open XML document generated by "initXML" and "XMLFromSet". <a href="#28b9966c5f197b8e86d57dd104aa32a6"></a><br></td></tr>
|
||||
<tr><td colspan="2"><br><h2>Public Attributes</h2></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classneuralpp_1_1Layer.html">Layer</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#e2b4e8405f9d25edab395d61502bdba9">input</a></td></tr>
|
||||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classneuralpp_1_1Layer.html">Layer</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#bbdaa1b6c0a1a95d2b18cd25fda2a266">hidden</a></td></tr>
|
||||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classneuralpp_1_1Layer.html">Layer</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#fa9b2dbcbb39d0fc70f790ac24069a74">output</a></td></tr>
|
||||
|
||||
<tr><td colspan="2"><br><h2>Private Member Functions</h2></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#94169c89a7cd47122ab5dbf1d5c5e108">updateWeights</a> ()</td></tr>
|
||||
|
||||
|
|
@ -102,9 +109,9 @@
|
|||
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#62695a82dfb1df758a44150921aec8e0">commitChanges</a> (<a class="el" href="classneuralpp_1_1Layer.html">Layer</a> *l)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">It commits the changes made by <a class="el" href="classneuralpp_1_1NeuralNet.html#94169c89a7cd47122ab5dbf1d5c5e108" title="It updates the weights of the net's synapsis through back-propagation.">updateWeights()</a> to the layer l. <a href="#62695a82dfb1df758a44150921aec8e0"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#8a140d28e6dd4097470c7c138801ad01">error</a> (double <a class="el" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">ex</a>)</td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#0616c51404efaca2714e37dd7478997e">error</a> (double <a class="el" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">ex</a>) const </td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">It get the error made on the expected result as |v-v'|/v. <a href="#8a140d28e6dd4097470c7c138801ad01"></a><br></td></tr>
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Get the error made on the expected result as |v-v'|/v. <a href="#0616c51404efaca2714e37dd7478997e"></a><br></td></tr>
|
||||
<tr><td colspan="2"><br><h2>Private Attributes</h2></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#4cb52dae7b43d03fac73afca7b9f3a51">epochs</a></td></tr>
|
||||
|
||||
|
|
@ -114,18 +121,9 @@
|
|||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">ex</a></td></tr>
|
||||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classneuralpp_1_1Layer.html">Layer</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#e2b4e8405f9d25edab395d61502bdba9">input</a></td></tr>
|
||||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classneuralpp_1_1Layer.html">Layer</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#bbdaa1b6c0a1a95d2b18cd25fda2a266">hidden</a></td></tr>
|
||||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classneuralpp_1_1Layer.html">Layer</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#fa9b2dbcbb39d0fc70f790ac24069a74">output</a></td></tr>
|
||||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double(* </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#c1469e6afd87d85b82f14bc246f82457">actv_f</a> )(double)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Private pointer to function, containing the function to be used as activation function. <a href="#c1469e6afd87d85b82f14bc246f82457"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double(* </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1NeuralNet.html#df44689f4e6201ca1ddc67655cce3576">deriv</a> )(double)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Private pointer to function, containing the function to be used as derivate of the activation function. <a href="#df44689f4e6201ca1ddc67655cce3576"></a><br></td></tr>
|
||||
</table>
|
||||
<hr><a name="_details"></a><h2>Detailed Description</h2>
|
||||
Main project's class.
|
||||
|
|
@ -236,14 +234,14 @@ Constructor.
|
|||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="88380cb002edcccf11b59f6d3f6c94c9"></a><!-- doxytag: member="neuralpp::NeuralNet::NeuralNet" ref="88380cb002edcccf11b59f6d3f6c94c9" args="(const char *file)" -->
|
||||
<a class="anchor" name="7fc7fc3e3220c138ffa5356fef6b9757"></a><!-- doxytag: member="neuralpp::NeuralNet::NeuralNet" ref="7fc7fc3e3220c138ffa5356fef6b9757" args="(const string file)" -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">neuralpp::NeuralNet::NeuralNet </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype">const char * </td>
|
||||
<td class="paramtype">const string </td>
|
||||
<td class="paramname"> <em>file</em> </td>
|
||||
<td> ) </td>
|
||||
<td> throw (NetworkFileNotFoundException)</td>
|
||||
|
|
@ -257,7 +255,7 @@ Constructor.
|
|||
<p>
|
||||
<dl compact><dt><b>Parameters:</b></dt><dd>
|
||||
<table border="0" cellspacing="2" cellpadding="0">
|
||||
<tr><td valign="top"></td><td valign="top"><em>file</em> </td><td>Binary file containing a neural network previously saved by <a class="el" href="classneuralpp_1_1NeuralNet.html#5db8d6ba4785f732da6e642b4f8f11a0" title="Save a trained neural network to a binary file.">save()</a> method </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>file</em> </td><td>Binary file containing a neural network previously saved by <a class="el" href="classneuralpp_1_1NeuralNet.html#fdf94c276720c25e565cac834fe8a407" title="Save a trained neural network to a binary file.">save()</a> method </td></tr>
|
||||
</table>
|
||||
</dl>
|
||||
<dl compact><dt><b>Exceptions:</b></dt><dd>
|
||||
|
|
@ -268,7 +266,7 @@ Constructor.
|
|||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="b4b261f7f7fa93c45855288fd66cfdca"></a><!-- doxytag: member="neuralpp::NeuralNet::NeuralNet" ref="b4b261f7f7fa93c45855288fd66cfdca" args="(size_t in_size, size_t hidden_size, size_t out_size, double(*actv)(double), double(*deriv)(double), double l, int e)" -->
|
||||
<a class="anchor" name="0c16df2e0701503052c63749930b238e"></a><!-- doxytag: member="neuralpp::NeuralNet::NeuralNet" ref="0c16df2e0701503052c63749930b238e" args="(size_t in_size, size_t hidden_size, size_t out_size, double(*actv)(double), double l, int e)" -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
|
|
@ -296,12 +294,6 @@ Constructor.
|
|||
<td class="paramtype">double(*)(double) </td>
|
||||
<td class="paramname"> <em>actv</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">double(*)(double) </td>
|
||||
<td class="paramname"> <em>deriv</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
|
|
@ -332,7 +324,6 @@ Constructor.
|
|||
<tr><td valign="top"></td><td valign="top"><em>hidden_size</em> </td><td>Size of the hidden layer </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>out_size</em> </td><td>Size of the output layer </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>actv</em> </td><td>Activation function to use (default: f(x)=x) </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>deriv</em> </td><td>Derivate for the activation function to use (default: f'(x)=1) </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>l</em> </td><td>learn rate (get it after doing some experiments, but generally try to keep its value quite low to be more accurate) </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>e</em> </td><td>Epochs (cycles) to execute (the most you execute, the most the network can be accurate for its purpose) </td></tr>
|
||||
</table>
|
||||
|
|
@ -389,7 +380,7 @@ In-class use only <dl compact><dt><b>Parameters:</b></dt><dd>
|
|||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="8a140d28e6dd4097470c7c138801ad01"></a><!-- doxytag: member="neuralpp::NeuralNet::error" ref="8a140d28e6dd4097470c7c138801ad01" args="(double ex)" -->
|
||||
<a class="anchor" name="0616c51404efaca2714e37dd7478997e"></a><!-- doxytag: member="neuralpp::NeuralNet::error" ref="0616c51404efaca2714e37dd7478997e" args="(double ex) const " -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
|
|
@ -399,14 +390,14 @@ In-class use only <dl compact><dt><b>Parameters:</b></dt><dd>
|
|||
<td class="paramtype">double </td>
|
||||
<td class="paramname"> <em>ex</em> </td>
|
||||
<td> ) </td>
|
||||
<td><code> [private]</code></td>
|
||||
<td> const<code> [private]</code></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
<div class="memdoc">
|
||||
|
||||
<p>
|
||||
It get the error made on the expected result as |v-v'|/v.
|
||||
Get the error made on the expected result as |v-v'|/v.
|
||||
<p>
|
||||
<dl compact><dt><b>Parameters:</b></dt><dd>
|
||||
<table border="0" cellspacing="2" cellpadding="0">
|
||||
|
|
@ -417,7 +408,7 @@ It get the error made on the expected result as |v-v'|/v.
|
|||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="7de7ee318eeb791d21a01e9e9e0e8c5a"></a><!-- doxytag: member="neuralpp::NeuralNet::getOutput" ref="7de7ee318eeb791d21a01e9e9e0e8c5a" args="()" -->
|
||||
<a class="anchor" name="961dce8913264bf64c899dce4e25f810"></a><!-- doxytag: member="neuralpp::NeuralNet::getOutput" ref="961dce8913264bf64c899dce4e25f810" args="() const " -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
|
|
@ -426,7 +417,7 @@ It get the error made on the expected result as |v-v'|/v.
|
|||
<td>(</td>
|
||||
<td class="paramname"> </td>
|
||||
<td> ) </td>
|
||||
<td></td>
|
||||
<td> const</td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
|
|
@ -461,7 +452,7 @@ It gets the output of the network in case the output layer contains more neurons
|
|||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="423fd38a61d79905dcc12da84c805114"></a><!-- doxytag: member="neuralpp::NeuralNet::expected" ref="423fd38a61d79905dcc12da84c805114" args="()" -->
|
||||
<a class="anchor" name="562dfe9fb8d73bf25a23ce608451d3aa"></a><!-- doxytag: member="neuralpp::NeuralNet::expected" ref="562dfe9fb8d73bf25a23ce608451d3aa" args="() const " -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
|
|
@ -470,7 +461,7 @@ It gets the output of the network in case the output layer contains more neurons
|
|||
<td>(</td>
|
||||
<td class="paramname"> </td>
|
||||
<td> ) </td>
|
||||
<td></td>
|
||||
<td> const</td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
|
|
@ -600,17 +591,17 @@ It links the layers of the network (input, hidden, output).
|
|||
Don't use unless you exactly know what you're doing, it is already called by the constructor
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="5db8d6ba4785f732da6e642b4f8f11a0"></a><!-- doxytag: member="neuralpp::NeuralNet::save" ref="5db8d6ba4785f732da6e642b4f8f11a0" args="(const char *fname)" -->
|
||||
<a class="anchor" name="fdf94c276720c25e565cac834fe8a407"></a><!-- doxytag: member="neuralpp::NeuralNet::save" ref="fdf94c276720c25e565cac834fe8a407" args="(const char *fname)" -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">bool neuralpp::NeuralNet::save </td>
|
||||
<td class="memname">void neuralpp::NeuralNet::save </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype">const char * </td>
|
||||
<td class="paramname"> <em>fname</em> </td>
|
||||
<td> ) </td>
|
||||
<td></td>
|
||||
<td> throw (NetworkFileWriteException)</td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
|
|
@ -624,10 +615,15 @@ Save a trained neural network to a binary file.
|
|||
<tr><td valign="top"></td><td valign="top"><em>fname</em> </td><td>Binary file where you're going to save your network </td></tr>
|
||||
</table>
|
||||
</dl>
|
||||
<dl compact><dt><b>Exceptions:</b></dt><dd>
|
||||
<table border="0" cellspacing="2" cellpadding="0">
|
||||
<tr><td valign="top"></td><td valign="top"><em>NetworkFileWriteException</em> </td><td>When you get an error writing the network's information to a file </td></tr>
|
||||
</table>
|
||||
</dl>
|
||||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="e8b8741d28bec1354db555eabe418cb6"></a><!-- doxytag: member="neuralpp::NeuralNet::train" ref="e8b8741d28bec1354db555eabe418cb6" args="(string xml, source xrc)" -->
|
||||
<a class="anchor" name="ead4bdef0602a5cadbe3beb685e01f5f"></a><!-- doxytag: member="neuralpp::NeuralNet::train" ref="ead4bdef0602a5cadbe3beb685e01f5f" args="(string xml, source src)" -->
|
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<div class="memitem">
|
||||
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|
||||
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|
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@ -641,7 +637,7 @@ Save a trained neural network to a binary file.
|
|||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"><a class="el" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f">source</a> </td>
|
||||
<td class="paramname"> <em>xrc</em></td><td> </td>
|
||||
<td class="paramname"> <em>src</em></td><td> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
|
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@ -858,51 +854,6 @@ Closes an open XML document generated by "initXML" and "XMLFromSet".
|
|||
|
||||
<p>
|
||||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="e2b4e8405f9d25edab395d61502bdba9"></a><!-- doxytag: member="neuralpp::NeuralNet::input" ref="e2b4e8405f9d25edab395d61502bdba9" args="" -->
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||||
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||||
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|
||||
<td class="memname"><a class="el" href="classneuralpp_1_1Layer.html">Layer</a>* <a class="el" href="classneuralpp_1_1NeuralNet.html#e2b4e8405f9d25edab395d61502bdba9">neuralpp::NeuralNet::input</a><code> [private]</code> </td>
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||||
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||||
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|
||||
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|
||||
<div class="memdoc">
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||||
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||||
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||||
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||||
</div><p>
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<a class="anchor" name="bbdaa1b6c0a1a95d2b18cd25fda2a266"></a><!-- doxytag: member="neuralpp::NeuralNet::hidden" ref="bbdaa1b6c0a1a95d2b18cd25fda2a266" args="" -->
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<td class="memname"><a class="el" href="classneuralpp_1_1Layer.html">Layer</a>* <a class="el" href="classneuralpp_1_1NeuralNet.html#bbdaa1b6c0a1a95d2b18cd25fda2a266">neuralpp::NeuralNet::hidden</a><code> [private]</code> </td>
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||||
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||||
<div class="memdoc">
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||||
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||||
<a class="anchor" name="fa9b2dbcbb39d0fc70f790ac24069a74"></a><!-- doxytag: member="neuralpp::NeuralNet::output" ref="fa9b2dbcbb39d0fc70f790ac24069a74" args="" -->
|
||||
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|
||||
<div class="memproto">
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||||
<table class="memname">
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||||
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||||
<td class="memname"><a class="el" href="classneuralpp_1_1Layer.html">Layer</a>* <a class="el" href="classneuralpp_1_1NeuralNet.html#fa9b2dbcbb39d0fc70f790ac24069a74">neuralpp::NeuralNet::output</a><code> [private]</code> </td>
|
||||
</tr>
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||||
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||||
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||||
<div class="memdoc">
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||||
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||||
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||||
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||||
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||||
</div><p>
|
||||
<a class="anchor" name="c1469e6afd87d85b82f14bc246f82457"></a><!-- doxytag: member="neuralpp::NeuralNet::actv_f" ref="c1469e6afd87d85b82f14bc246f82457" args=")(double)" -->
|
||||
|
|
@ -922,19 +873,47 @@ Private pointer to function, containing the function to be used as activation fu
|
|||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="df44689f4e6201ca1ddc67655cce3576"></a><!-- doxytag: member="neuralpp::NeuralNet::deriv" ref="df44689f4e6201ca1ddc67655cce3576" args=")(double)" -->
|
||||
<a class="anchor" name="e2b4e8405f9d25edab395d61502bdba9"></a><!-- doxytag: member="neuralpp::NeuralNet::input" ref="e2b4e8405f9d25edab395d61502bdba9" args="" -->
|
||||
<div class="memitem">
|
||||
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||||
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||||
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||||
<td class="memname">double(* <a class="el" href="classneuralpp_1_1NeuralNet.html#df44689f4e6201ca1ddc67655cce3576">neuralpp::NeuralNet::deriv</a>)(double)<code> [private]</code> </td>
|
||||
<td class="memname"><a class="el" href="classneuralpp_1_1Layer.html">Layer</a>* <a class="el" href="classneuralpp_1_1NeuralNet.html#e2b4e8405f9d25edab395d61502bdba9">neuralpp::NeuralNet::input</a> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
<div class="memdoc">
|
||||
|
||||
<p>
|
||||
Private pointer to function, containing the function to be used as derivate of the activation function.
|
||||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="bbdaa1b6c0a1a95d2b18cd25fda2a266"></a><!-- doxytag: member="neuralpp::NeuralNet::hidden" ref="bbdaa1b6c0a1a95d2b18cd25fda2a266" args="" -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname"><a class="el" href="classneuralpp_1_1Layer.html">Layer</a>* <a class="el" href="classneuralpp_1_1NeuralNet.html#bbdaa1b6c0a1a95d2b18cd25fda2a266">neuralpp::NeuralNet::hidden</a> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
<div class="memdoc">
|
||||
|
||||
<p>
|
||||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="fa9b2dbcbb39d0fc70f790ac24069a74"></a><!-- doxytag: member="neuralpp::NeuralNet::output" ref="fa9b2dbcbb39d0fc70f790ac24069a74" args="" -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname"><a class="el" href="classneuralpp_1_1Layer.html">Layer</a>* <a class="el" href="classneuralpp_1_1NeuralNet.html#fa9b2dbcbb39d0fc70f790ac24069a74">neuralpp::NeuralNet::output</a> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
<div class="memdoc">
|
||||
|
||||
<p>
|
||||
|
||||
</div>
|
||||
|
|
@ -942,7 +921,7 @@ Private pointer to function, containing the function to be used as derivate of t
|
|||
<hr>The documentation for this class was generated from the following file:<ul>
|
||||
<li><a class="el" href="neural_09_09_8hpp-source.html">neural++.hpp</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -25,12 +25,11 @@
|
|||
<h1>neuralpp::Neuron Member List</h1>This is the complete list of members for <a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a>, including all inherited members.<p><table>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#198ddd0d11a26d0052d52b787d6a0df0">actv_f</a></td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#eec680c47272b2465e8d8a998c359853">actv_val</a></td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#8b881889e40e9782c49b0efad2b1dde3">deriv</a></td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#55993867179f0ac7d1e0e2c460ceb611">getActv</a>()</td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#57c022f82213f662e2a263fc134a3fc9">getProp</a>()</td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#ead827210fa18c2baae03927b2c798ff">in</a></td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#c877424a295478e3464046ea43c2a7ad">Neuron</a>(double(*a)(double), double(*d)(double))</td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#e25546d4f7126f106c2f3b2d8ed2c792">Neuron</a>(vector< Synapsis > in, vector< Synapsis > out, double(*a)(double), double(*d)(double))</td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#9863a08b73bc97c8b514aca6c580ff7b">Neuron</a>(double(*a)(double))</td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#f1bf19ec93174f60b368ee4a91b03f46">Neuron</a>(vector< Synapsis > in, vector< Synapsis > out, double(*a)(double))</td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#ad97f1a082d5f969eb4c69ab454ecfbb">nIn</a>()</td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#fe458021e3b20d58dc608fb94ae2135b">nOut</a>()</td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#82a4297f84d6403e52a8386d26117b4f">out</a></td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td><code> [private]</code></td></tr>
|
||||
|
|
@ -44,7 +43,7 @@
|
|||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#29f2d9dcc4ca34f224d4dc39bb2f180a">synIn</a>(size_t i)</td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Neuron.html#655f1637e1b754461413ac7fc2ffeebe">synOut</a>(size_t i)</td><td><a class="el" href="classneuralpp_1_1Neuron.html">neuralpp::Neuron</a></td><td></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -34,12 +34,12 @@
|
|||
<a href="classneuralpp_1_1Neuron-members.html">List of all members.</a><table border="0" cellpadding="0" cellspacing="0">
|
||||
<tr><td></td></tr>
|
||||
<tr><td colspan="2"><br><h2>Public Member Functions</h2></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Neuron.html#c877424a295478e3464046ea43c2a7ad">Neuron</a> (double(*a)(double), double(*d)(double))</td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Neuron.html#9863a08b73bc97c8b514aca6c580ff7b">Neuron</a> (double(*a)(double))</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#c877424a295478e3464046ea43c2a7ad"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Neuron.html#e25546d4f7126f106c2f3b2d8ed2c792">Neuron</a> (vector< <a class="el" href="classneuralpp_1_1Synapsis.html">Synapsis</a> > <a class="el" href="classneuralpp_1_1Neuron.html#ead827210fa18c2baae03927b2c798ff">in</a>, vector< <a class="el" href="classneuralpp_1_1Synapsis.html">Synapsis</a> > <a class="el" href="classneuralpp_1_1Neuron.html#82a4297f84d6403e52a8386d26117b4f">out</a>, double(*a)(double), double(*d)(double))</td></tr>
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#9863a08b73bc97c8b514aca6c580ff7b"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Neuron.html#f1bf19ec93174f60b368ee4a91b03f46">Neuron</a> (vector< <a class="el" href="classneuralpp_1_1Synapsis.html">Synapsis</a> > <a class="el" href="classneuralpp_1_1Neuron.html#ead827210fa18c2baae03927b2c798ff">in</a>, vector< <a class="el" href="classneuralpp_1_1Synapsis.html">Synapsis</a> > <a class="el" href="classneuralpp_1_1Neuron.html#82a4297f84d6403e52a8386d26117b4f">out</a>, double(*a)(double))</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Alternative constructor, that gets also the synapsis linked to the neuron. <a href="#e25546d4f7126f106c2f3b2d8ed2c792"></a><br></td></tr>
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Alternative constructor, that gets also the synapsis linked to the neuron. <a href="#f1bf19ec93174f60b368ee4a91b03f46"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classneuralpp_1_1Synapsis.html">Synapsis</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Neuron.html#29f2d9dcc4ca34f224d4dc39bb2f180a">synIn</a> (size_t i)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Get the i-th synapsis connected on the input of the neuron. <a href="#29f2d9dcc4ca34f224d4dc39bb2f180a"></a><br></td></tr>
|
||||
|
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@ -87,14 +87,12 @@
|
|||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double(* </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Neuron.html#198ddd0d11a26d0052d52b787d6a0df0">actv_f</a> )(double)</td></tr>
|
||||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double(* </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Neuron.html#8b881889e40e9782c49b0efad2b1dde3">deriv</a> )(double)</td></tr>
|
||||
|
||||
</table>
|
||||
<hr><a name="_details"></a><h2>Detailed Description</h2>
|
||||
Class for managing neurons.
|
||||
<p>
|
||||
Don't use this class directly unless you know what you're doing, use <a class="el" href="classneuralpp_1_1NeuralNet.html" title="Main project's class.">NeuralNet</a> instead <hr><h2>Constructor & Destructor Documentation</h2>
|
||||
<a class="anchor" name="c877424a295478e3464046ea43c2a7ad"></a><!-- doxytag: member="neuralpp::Neuron::Neuron" ref="c877424a295478e3464046ea43c2a7ad" args="(double(*a)(double), double(*d)(double))" -->
|
||||
<a class="anchor" name="9863a08b73bc97c8b514aca6c580ff7b"></a><!-- doxytag: member="neuralpp::Neuron::Neuron" ref="9863a08b73bc97c8b514aca6c580ff7b" args="(double(*a)(double))" -->
|
||||
<div class="memitem">
|
||||
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|
||||
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|
||||
|
|
@ -102,18 +100,9 @@ Don't use this class directly unless you know what you're doing, use <a class="e
|
|||
<td class="memname">neuralpp::Neuron::Neuron </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype">double(*)(double) </td>
|
||||
<td class="paramname"> <em>a</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td class="paramname"> <em>a</em> </td>
|
||||
<td> ) </td>
|
||||
<td></td>
|
||||
<td class="paramtype">double(*)(double) </td>
|
||||
<td class="paramname"> <em>d</em></td><td> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
|
|
@ -125,13 +114,12 @@ Constructor.
|
|||
<dl compact><dt><b>Parameters:</b></dt><dd>
|
||||
<table border="0" cellspacing="2" cellpadding="0">
|
||||
<tr><td valign="top"></td><td valign="top"><em>a</em> </td><td>Activation function </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>d</em> </td><td>Its derivate </td></tr>
|
||||
</table>
|
||||
</dl>
|
||||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="e25546d4f7126f106c2f3b2d8ed2c792"></a><!-- doxytag: member="neuralpp::Neuron::Neuron" ref="e25546d4f7126f106c2f3b2d8ed2c792" args="(vector< Synapsis > in, vector< Synapsis > out, double(*a)(double), double(*d)(double))" -->
|
||||
<a class="anchor" name="f1bf19ec93174f60b368ee4a91b03f46"></a><!-- doxytag: member="neuralpp::Neuron::Neuron" ref="f1bf19ec93174f60b368ee4a91b03f46" args="(vector< Synapsis > in, vector< Synapsis > out, double(*a)(double))" -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
|
|
@ -151,13 +139,7 @@ Constructor.
|
|||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">double(*)(double) </td>
|
||||
<td class="paramname"> <em>a</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">double(*)(double) </td>
|
||||
<td class="paramname"> <em>d</em></td><td> </td>
|
||||
<td class="paramname"> <em>a</em></td><td> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
|
|
@ -176,7 +158,6 @@ Alternative constructor, that gets also the synapsis linked to the neuron.
|
|||
<tr><td valign="top"></td><td valign="top"><em>in</em> </td><td>Input synapses </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>out</em> </td><td>Output synapses </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>a</em> </td><td>Activation function </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>d</em> </td><td>Derivate of the activation function </td></tr>
|
||||
</table>
|
||||
</dl>
|
||||
|
||||
|
|
@ -551,27 +532,12 @@ Remove input and output synapsis from a neuron.
|
|||
|
||||
<p>
|
||||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="8b881889e40e9782c49b0efad2b1dde3"></a><!-- doxytag: member="neuralpp::Neuron::deriv" ref="8b881889e40e9782c49b0efad2b1dde3" args=")(double)" -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">double(* <a class="el" href="classneuralpp_1_1Neuron.html#8b881889e40e9782c49b0efad2b1dde3">neuralpp::Neuron::deriv</a>)(double)<code> [private]</code> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
<div class="memdoc">
|
||||
|
||||
<p>
|
||||
|
||||
</div>
|
||||
</div><p>
|
||||
<hr>The documentation for this class was generated from the following file:<ul>
|
||||
<li><a class="el" href="neural_09_09_8hpp-source.html">neural++.hpp</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -25,7 +25,6 @@
|
|||
<h1>neuralpp::Synapsis Member List</h1>This is the complete list of members for <a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a>, including all inherited members.<p><table>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#2539b9eef2ff0f3522aea8d89e394f02">actv_f</a></td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#617fdc4305f8f1850eac267a7ee22660">delta</a></td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#2940b370c283aa1b63890666942c26bf">deriv</a></td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td><code> [private]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#18f15b920609be8b818d43a0227aada5">getDelta</a>()</td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#5ba8a93a5741f4855390eb8a46e99435">getIn</a>()</td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#61c9a04e03291a01f44520cef143cbdd">getOut</a>()</td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td></td></tr>
|
||||
|
|
@ -38,11 +37,11 @@
|
|||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#429ad5b25930faf436a9d725582802e1">setDelta</a>(double d)</td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#acee77d0fdf9889464ab5ed27beae0ff">setWeight</a>(double w)</td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#0729de9e737b9967421edcfc4b410bd8">Synapsis</a>(Neuron *i, Neuron *o, double w, double d)</td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#a75e0de57380141973c46dd83d9985e2">Synapsis</a>(Neuron *i, Neuron *o, double(*a)(double), double(*d)(double))</td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#3b9714684c845beae5b3474428509663">Synapsis</a>(Neuron *i, Neuron *o, double w, double(*a)(double), double(*d)(double))</td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#b767332fdce81af25486b8969e5d2fb3">Synapsis</a>(Neuron *i, Neuron *o, double(*a)(double))</td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#af6b80ab3203bccd2ee4a36f06537517">Synapsis</a>(Neuron *i, Neuron *o, double w, double(*a)(double))</td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1Synapsis.html#0bc523a8135ebbb5c0da932939d30ed7">weight</a></td><td><a class="el" href="classneuralpp_1_1Synapsis.html">neuralpp::Synapsis</a></td><td><code> [private]</code></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -37,20 +37,20 @@
|
|||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#0729de9e737b9967421edcfc4b410bd8">Synapsis</a> (<a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> *i, <a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> *o, double w, double d)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#0729de9e737b9967421edcfc4b410bd8"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#a75e0de57380141973c46dd83d9985e2">Synapsis</a> (<a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> *i, <a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> *o, double(*a)(double), double(*d)(double))</td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#b767332fdce81af25486b8969e5d2fb3">Synapsis</a> (<a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> *i, <a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> *o, double(*a)(double))</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#a75e0de57380141973c46dd83d9985e2"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#3b9714684c845beae5b3474428509663">Synapsis</a> (<a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> *i, <a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> *o, double w, double(*a)(double), double(*d)(double))</td></tr>
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#b767332fdce81af25486b8969e5d2fb3"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#af6b80ab3203bccd2ee4a36f06537517">Synapsis</a> (<a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> *i, <a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> *o, double w, double(*a)(double))</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#3b9714684c845beae5b3474428509663"></a><br></td></tr>
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#af6b80ab3203bccd2ee4a36f06537517"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#5ba8a93a5741f4855390eb8a46e99435">getIn</a> ()</td></tr>
|
||||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#61c9a04e03291a01f44520cef143cbdd">getOut</a> ()</td></tr>
|
||||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#acee77d0fdf9889464ab5ed27beae0ff">setWeight</a> (double w)</td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#acee77d0fdf9889464ab5ed27beae0ff">setWeight</a> (double w) throw (InvalidSynapticalWeightException)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Set the weight of the synapsis. <a href="#acee77d0fdf9889464ab5ed27beae0ff"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#429ad5b25930faf436a9d725582802e1">setDelta</a> (double d)</td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#429ad5b25930faf436a9d725582802e1">setDelta</a> (double d) throw (InvalidSynapticalWeightException)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">It sets the delta (how much to change the weight after an update) of the synapsis. <a href="#429ad5b25930faf436a9d725582802e1"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#aa79c16ec6b59949e5d2f75a3f10d530">getWeight</a> ()</td></tr>
|
||||
|
|
@ -78,8 +78,6 @@
|
|||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double(* </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#2539b9eef2ff0f3522aea8d89e394f02">actv_f</a> )(double)</td></tr>
|
||||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double(* </td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Synapsis.html#2940b370c283aa1b63890666942c26bf">deriv</a> )(double)</td></tr>
|
||||
|
||||
</table>
|
||||
<hr><a name="_details"></a><h2>Detailed Description</h2>
|
||||
Class for managing synapsis.
|
||||
|
|
@ -136,7 +134,7 @@ Constructor.
|
|||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="a75e0de57380141973c46dd83d9985e2"></a><!-- doxytag: member="neuralpp::Synapsis::Synapsis" ref="a75e0de57380141973c46dd83d9985e2" args="(Neuron *i, Neuron *o, double(*a)(double), double(*d)(double))" -->
|
||||
<a class="anchor" name="b767332fdce81af25486b8969e5d2fb3"></a><!-- doxytag: member="neuralpp::Synapsis::Synapsis" ref="b767332fdce81af25486b8969e5d2fb3" args="(Neuron *i, Neuron *o, double(*a)(double))" -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
|
|
@ -156,13 +154,7 @@ Constructor.
|
|||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">double(*)(double) </td>
|
||||
<td class="paramname"> <em>a</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">double(*)(double) </td>
|
||||
<td class="paramname"> <em>d</em></td><td> </td>
|
||||
<td class="paramname"> <em>a</em></td><td> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
|
|
@ -181,13 +173,12 @@ Constructor.
|
|||
<tr><td valign="top"></td><td valign="top"><em>i</em> </td><td>Input neuron </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>o</em> </td><td>Output neuron </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>a</em> </td><td>Activation function </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>d</em> </td><td>Derivate for activation function </td></tr>
|
||||
</table>
|
||||
</dl>
|
||||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="3b9714684c845beae5b3474428509663"></a><!-- doxytag: member="neuralpp::Synapsis::Synapsis" ref="3b9714684c845beae5b3474428509663" args="(Neuron *i, Neuron *o, double w, double(*a)(double), double(*d)(double))" -->
|
||||
<a class="anchor" name="af6b80ab3203bccd2ee4a36f06537517"></a><!-- doxytag: member="neuralpp::Synapsis::Synapsis" ref="af6b80ab3203bccd2ee4a36f06537517" args="(Neuron *i, Neuron *o, double w, double(*a)(double))" -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
|
|
@ -213,13 +204,7 @@ Constructor.
|
|||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">double(*)(double) </td>
|
||||
<td class="paramname"> <em>a</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">double(*)(double) </td>
|
||||
<td class="paramname"> <em>d</em></td><td> </td>
|
||||
<td class="paramname"> <em>a</em></td><td> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
|
|
@ -239,7 +224,6 @@ Constructor.
|
|||
<tr><td valign="top"></td><td valign="top"><em>o</em> </td><td>Output neuron </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>w</em> </td><td>Weight for the synapsis (default: random) </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>a</em> </td><td>Activation function </td></tr>
|
||||
<tr><td valign="top"></td><td valign="top"><em>d</em> </td><td>Derivate for activation function </td></tr>
|
||||
</table>
|
||||
</dl>
|
||||
|
||||
|
|
@ -296,7 +280,7 @@ Constructor.
|
|||
<td class="paramtype">double </td>
|
||||
<td class="paramname"> <em>w</em> </td>
|
||||
<td> ) </td>
|
||||
<td></td>
|
||||
<td> throw (InvalidSynapticalWeightException)</td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
|
|
@ -323,7 +307,7 @@ Set the weight of the synapsis.
|
|||
<td class="paramtype">double </td>
|
||||
<td class="paramname"> <em>d</em> </td>
|
||||
<td> ) </td>
|
||||
<td></td>
|
||||
<td> throw (InvalidSynapticalWeightException)</td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
|
|
@ -533,27 +517,12 @@ This value is inversely proportional to the number of steps done in the learning
|
|||
|
||||
<p>
|
||||
|
||||
</div>
|
||||
</div><p>
|
||||
<a class="anchor" name="2940b370c283aa1b63890666942c26bf"></a><!-- doxytag: member="neuralpp::Synapsis::deriv" ref="2940b370c283aa1b63890666942c26bf" args=")(double)" -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">double(* <a class="el" href="classneuralpp_1_1Synapsis.html#2940b370c283aa1b63890666942c26bf">neuralpp::Synapsis::deriv</a>)(double)<code> [private]</code> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
<div class="memdoc">
|
||||
|
||||
<p>
|
||||
|
||||
</div>
|
||||
</div><p>
|
||||
<hr>The documentation for this class was generated from the following file:<ul>
|
||||
<li><a class="el" href="neural_09_09_8hpp-source.html">neural++.hpp</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
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|
|||
<tr><td class="indexkey"><a class="el" href="neural_09_09__exception_8hpp.html">neural++_exception.hpp</a> <a href="neural_09_09__exception_8hpp-source.html">[code]</a></td><td class="indexvalue"></td></tr>
|
||||
</table>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -93,7 +93,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
: <a class="el" href="classCMarkup.html#3257cd5f249587254e816d12bd3b0e0d">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -77,7 +77,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
: <a class="el" href="structCMarkup_1_1NodeStack.html#499a05e053b785df518fb0b6124fd0ee">CMarkup::NodeStack</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -66,16 +66,11 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
: <a class="el" href="classCMarkup.html#637a7f8239f974d4ce5fe2e33336ca9e">CMarkup</a>
|
||||
<li>delta
|
||||
: <a class="el" href="classneuralpp_1_1Synapsis.html#617fdc4305f8f1850eac267a7ee22660">neuralpp::Synapsis</a>
|
||||
<li>deriv
|
||||
: <a class="el" href="classneuralpp_1_1Neuron.html#8b881889e40e9782c49b0efad2b1dde3">neuralpp::Neuron</a>
|
||||
, <a class="el" href="classneuralpp_1_1NeuralNet.html#df44689f4e6201ca1ddc67655cce3576">neuralpp::NeuralNet</a>
|
||||
, <a class="el" href="classneuralpp_1_1Layer.html#a0207b14ba80aaf03502749ecb7d23fa">neuralpp::Layer</a>
|
||||
, <a class="el" href="classneuralpp_1_1Synapsis.html#2940b370c283aa1b63890666942c26bf">neuralpp::Synapsis</a>
|
||||
<li>DetectUTF8()
|
||||
: <a class="el" href="classCMarkup.html#f91e20dfe9e95194e3ca8143eeb889c2">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -72,17 +72,17 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
: <a class="el" href="structneuralpp_1_1netrecord.html#ab0149ed5ea0694e88213a07cd4427d1">neuralpp::netrecord</a>
|
||||
, <a class="el" href="classneuralpp_1_1NeuralNet.html#4cb52dae7b43d03fac73afca7b9f3a51">neuralpp::NeuralNet</a>
|
||||
<li>error()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#8a140d28e6dd4097470c7c138801ad01">neuralpp::NeuralNet</a>
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#0616c51404efaca2714e37dd7478997e">neuralpp::NeuralNet</a>
|
||||
<li>EscapeText()
|
||||
: <a class="el" href="classCMarkup.html#ba91db9799ea46f2594a85f7026b6034">CMarkup</a>
|
||||
<li>ex
|
||||
: <a class="el" href="structneuralpp_1_1netrecord.html#dcc44fde3f67058d26ef2d5cbd0904e6">neuralpp::netrecord</a>
|
||||
, <a class="el" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">neuralpp::NeuralNet</a>
|
||||
<li>expected()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#423fd38a61d79905dcc12da84c805114">neuralpp::NeuralNet</a>
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#562dfe9fb8d73bf25a23ce608451d3aa">neuralpp::NeuralNet</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -72,7 +72,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
: <a class="el" href="structCMarkup_1_1FilePos.html#d5d7584cf09fa60ef62f5c764e1ee158">CMarkup::FilePos</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
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|
|||
<li>getOut()
|
||||
: <a class="el" href="classneuralpp_1_1Synapsis.html#61c9a04e03291a01f44520cef143cbdd">neuralpp::Synapsis</a>
|
||||
<li>getOutput()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#7de7ee318eeb791d21a01e9e9e0e8c5a">neuralpp::NeuralNet</a>
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#961dce8913264bf64c899dce4e25f810">neuralpp::NeuralNet</a>
|
||||
<li>getOutputs()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#a6b8bf3800b43b58843c65fc431207ae">neuralpp::NeuralNet</a>
|
||||
<li>getPrevDelta()
|
||||
|
|
@ -110,7 +110,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
: <a class="el" href="classneuralpp_1_1Synapsis.html#aa79c16ec6b59949e5d2f75a3f10d530">neuralpp::Synapsis</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
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|
|||
: <a class="el" href="structneuralpp_1_1netrecord.html#3c1728ac66c37f6ac85c404d4f55552e">neuralpp::netrecord</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
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|||
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|
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|
|||
: <a class="el" href="classCMarkup.html#f3a54e13b8565c2789c2c80aa2c9a563">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -62,7 +62,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#6bd7be443e46b2fdbf1da2edb8e611ab">neuralpp::NeuralNet</a>
|
||||
, <a class="el" href="structneuralpp_1_1netrecord.html#a4f793a39a40144e811fef4d3d2d2b30">neuralpp::netrecord</a>
|
||||
<li>Layer()
|
||||
: <a class="el" href="classneuralpp_1_1Layer.html#117d1c3b481641816e80ea36826d2107">neuralpp::Layer</a>
|
||||
: <a class="el" href="classneuralpp_1_1Layer.html#609ed16b8d79dc384b01ba7d16b72bd1">neuralpp::Layer</a>
|
||||
<li>Length()
|
||||
: <a class="el" href="structCMarkup_1_1TokenPos.html#b033dc8e88a8f83748ff6c44df05bb04">CMarkup::TokenPos</a>
|
||||
<li>Level()
|
||||
|
|
@ -74,7 +74,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
: <a class="el" href="classCMarkup.html#c7604e24564eac2dce702f7fbaf430a6">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
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|
|||
: <a class="el" href="classneuralpp_1_1Synapsis.html#ecdb17182de791f7fdd417232e184350">neuralpp::Synapsis</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -65,7 +65,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
<li>NeuralNet()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#c79534c7c0dfb20d1d03be2ad7569b78">neuralpp::NeuralNet</a>
|
||||
<li>Neuron()
|
||||
: <a class="el" href="classneuralpp_1_1Neuron.html#e25546d4f7126f106c2f3b2d8ed2c792">neuralpp::Neuron</a>
|
||||
: <a class="el" href="classneuralpp_1_1Neuron.html#f1bf19ec93174f60b368ee4a91b03f46">neuralpp::Neuron</a>
|
||||
<li>nFailedChars
|
||||
: <a class="el" href="structCMarkup_1_1ConvertEncoding.html#bfd8cc96d41531109b9301b4d28a695f">CMarkup::ConvertEncoding</a>
|
||||
<li>nFileByteLen
|
||||
|
|
@ -127,7 +127,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
: <a class="el" href="structCMarkup_1_1NodeStack.html#f3e08fa5dce853a6267da9f77ef3f986">CMarkup::NodeStack</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -76,7 +76,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
: <a class="el" href="structneuralpp_1_1netrecord.html#95f2b0651dd3a0e5e7201ff354e401b4">neuralpp::netrecord</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -94,7 +94,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
: <a class="el" href="classneuralpp_1_1Neuron.html#bca65db84f56f9d40694bfbcd25812cb">neuralpp::Neuron</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -85,7 +85,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
: <a class="el" href="classCMarkup.html#dbab6d52d320eac695850f0b47e5b5ce">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -61,7 +61,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
<li>Save()
|
||||
: <a class="el" href="classCMarkup.html#61b774f533449eeda7f3d78d8d69e4fb">CMarkup</a>
|
||||
<li>save()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#5db8d6ba4785f732da6e642b4f8f11a0">neuralpp::NeuralNet</a>
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#fdf94c276720c25e565cac834fe8a407">neuralpp::NeuralNet</a>
|
||||
<li>SavedPos()
|
||||
: <a class="el" href="structCMarkup_1_1SavedPos.html#203b3a22eb86b1131985a6631e3d3c47">CMarkup::SavedPos</a>
|
||||
<li>SavedPosMap()
|
||||
|
|
@ -109,7 +109,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
<li>setWeight()
|
||||
: <a class="el" href="classneuralpp_1_1Synapsis.html#acee77d0fdf9889464ab5ed27beae0ff">neuralpp::Synapsis</a>
|
||||
<li>size()
|
||||
: <a class="el" href="classneuralpp_1_1Layer.html#c8d2f7513e5d40518f9dddfd1e3ddcc5">neuralpp::Layer</a>
|
||||
: <a class="el" href="classneuralpp_1_1Layer.html#7ca71ed62fbe9c1e9c0fb6a8dcaf76f0">neuralpp::Layer</a>
|
||||
<li>source
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f">neuralpp::NeuralNet</a>
|
||||
<li>split()
|
||||
|
|
@ -145,7 +145,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
<li>strToEncoding
|
||||
: <a class="el" href="structCMarkup_1_1ConvertEncoding.html#cc2420305e7cfa6c9d18f7ce9daa4313">CMarkup::ConvertEncoding</a>
|
||||
<li>Synapsis()
|
||||
: <a class="el" href="classneuralpp_1_1Synapsis.html#a75e0de57380141973c46dd83d9985e2">neuralpp::Synapsis</a>
|
||||
: <a class="el" href="classneuralpp_1_1Synapsis.html#b767332fdce81af25486b8969e5d2fb3">neuralpp::Synapsis</a>
|
||||
<li>synClear()
|
||||
: <a class="el" href="classneuralpp_1_1Neuron.html#2e2ccb69277fc3d992a3a3f2360ed154">neuralpp::Neuron</a>
|
||||
<li>synIn()
|
||||
|
|
@ -154,7 +154,7 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
: <a class="el" href="classneuralpp_1_1Neuron.html#655f1637e1b754461413ac7fc2ffeebe">neuralpp::Neuron</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -65,10 +65,10 @@ Here is a list of all class members with links to the classes they belong to:
|
|||
<li>TopIndex()
|
||||
: <a class="el" href="structCMarkup_1_1NodeStack.html#4e9aad88e12b7bbabdbb3fd65fc51585">CMarkup::NodeStack</a>
|
||||
<li>train()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#e8b8741d28bec1354db555eabe418cb6">neuralpp::NeuralNet</a>
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#ead4bdef0602a5cadbe3beb685e01f5f">neuralpp::NeuralNet</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
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|
|||
: <a class="el" href="classCMarkup.html#8e6cb088e69b6078f5923b0940fd647c">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
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|
|||
: <a class="el" href="classCMarkup.html#983286cbcb7c4f9aa1f462ffb5dc641f">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
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|
|||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#4be31ecb0b543a192997bd83c6995ccb">neuralpp::NeuralNet</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
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|
|||
: <a class="el" href="structCMarkup_1_1SavedPosMapArray.html#6be57f9ebe160aebb464957caa30ddd6">CMarkup::SavedPosMapArray</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
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|
|||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f">neuralpp::NeuralNet</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
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|
|||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f6d06b4fe9414a158c97aee1a3679a904">neuralpp::NeuralNet</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -83,7 +83,7 @@
|
|||
: <a class="el" href="classCMarkup.html#3257cd5f249587254e816d12bd3b0e0d">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -76,7 +76,7 @@
|
|||
: <a class="el" href="structCMarkup_1_1NodeStack.html#499a05e053b785df518fb0b6124fd0ee">CMarkup::NodeStack</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -65,7 +65,7 @@
|
|||
: <a class="el" href="classCMarkup.html#f91e20dfe9e95194e3ca8143eeb889c2">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -66,14 +66,14 @@
|
|||
<li>EndTagLen()
|
||||
: <a class="el" href="structCMarkup_1_1ElemPos.html#d9d0ad0c48a129555d1052e98e4f71bd">CMarkup::ElemPos</a>
|
||||
<li>error()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#8a140d28e6dd4097470c7c138801ad01">neuralpp::NeuralNet</a>
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#0616c51404efaca2714e37dd7478997e">neuralpp::NeuralNet</a>
|
||||
<li>EscapeText()
|
||||
: <a class="el" href="classCMarkup.html#ba91db9799ea46f2594a85f7026b6034">CMarkup</a>
|
||||
<li>expected()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#423fd38a61d79905dcc12da84c805114">neuralpp::NeuralNet</a>
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#562dfe9fb8d73bf25a23ce608451d3aa">neuralpp::NeuralNet</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -67,7 +67,7 @@
|
|||
: <a class="el" href="classCMarkup.html#e29573627f9b0cdc0d7152ff749ba407">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -92,7 +92,7 @@
|
|||
<li>getOut()
|
||||
: <a class="el" href="classneuralpp_1_1Synapsis.html#61c9a04e03291a01f44520cef143cbdd">neuralpp::Synapsis</a>
|
||||
<li>getOutput()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#7de7ee318eeb791d21a01e9e9e0e8c5a">neuralpp::NeuralNet</a>
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#961dce8913264bf64c899dce4e25f810">neuralpp::NeuralNet</a>
|
||||
<li>getOutputs()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#a6b8bf3800b43b58843c65fc431207ae">neuralpp::NeuralNet</a>
|
||||
<li>getPrevDelta()
|
||||
|
|
@ -109,7 +109,7 @@
|
|||
: <a class="el" href="classneuralpp_1_1Synapsis.html#aa79c16ec6b59949e5d2f75a3f10d530">neuralpp::Synapsis</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -79,7 +79,7 @@
|
|||
: <a class="el" href="classCMarkup.html#f3a54e13b8565c2789c2c80aa2c9a563">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -58,7 +58,7 @@
|
|||
<p>
|
||||
<h3><a class="anchor" name="index_l">- l -</a></h3><ul>
|
||||
<li>Layer()
|
||||
: <a class="el" href="classneuralpp_1_1Layer.html#411a4dc8a1bb2fe44fe7a69fa50fd764">neuralpp::Layer</a>
|
||||
: <a class="el" href="classneuralpp_1_1Layer.html#fb08bddd85d36570dabfe915461f07c5">neuralpp::Layer</a>
|
||||
<li>Length()
|
||||
: <a class="el" href="structCMarkup_1_1TokenPos.html#b033dc8e88a8f83748ff6c44df05bb04">CMarkup::TokenPos</a>
|
||||
<li>Level()
|
||||
|
|
@ -70,7 +70,7 @@
|
|||
: <a class="el" href="classCMarkup.html#c7604e24564eac2dce702f7fbaf430a6">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -65,7 +65,7 @@
|
|||
: <a class="el" href="classneuralpp_1_1Synapsis.html#ecdb17182de791f7fdd417232e184350">neuralpp::Synapsis</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -60,7 +60,7 @@
|
|||
<li>NeuralNet()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#92b145f2f6f00bf1ba645ce2235882c2">neuralpp::NeuralNet</a>
|
||||
<li>Neuron()
|
||||
: <a class="el" href="classneuralpp_1_1Neuron.html#c877424a295478e3464046ea43c2a7ad">neuralpp::Neuron</a>
|
||||
: <a class="el" href="classneuralpp_1_1Neuron.html#9863a08b73bc97c8b514aca6c580ff7b">neuralpp::Neuron</a>
|
||||
<li>nIn()
|
||||
: <a class="el" href="classneuralpp_1_1Neuron.html#ad97f1a082d5f969eb4c69ab454ecfbb">neuralpp::Neuron</a>
|
||||
<li>NodePos()
|
||||
|
|
@ -71,7 +71,7 @@
|
|||
: <a class="el" href="classneuralpp_1_1Neuron.html#fe458021e3b20d58dc608fb94ae2135b">neuralpp::Neuron</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -68,7 +68,7 @@
|
|||
: <a class="el" href="classCMarkup.html#012bca9ceaf157033a5697fa6ea92e45">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -69,7 +69,7 @@
|
|||
: <a class="el" href="classneuralpp_1_1Neuron.html#bca65db84f56f9d40694bfbcd25812cb">neuralpp::Neuron</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -82,7 +82,7 @@
|
|||
: <a class="el" href="classCMarkup.html#dbab6d52d320eac695850f0b47e5b5ce">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -60,7 +60,7 @@
|
|||
<li>Save()
|
||||
: <a class="el" href="classCMarkup.html#61b774f533449eeda7f3d78d8d69e4fb">CMarkup</a>
|
||||
<li>save()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#5db8d6ba4785f732da6e642b4f8f11a0">neuralpp::NeuralNet</a>
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#fdf94c276720c25e565cac834fe8a407">neuralpp::NeuralNet</a>
|
||||
<li>SavedPos()
|
||||
: <a class="el" href="structCMarkup_1_1SavedPos.html#203b3a22eb86b1131985a6631e3d3c47">CMarkup::SavedPos</a>
|
||||
<li>SavedPosMap()
|
||||
|
|
@ -108,7 +108,7 @@
|
|||
<li>setWeight()
|
||||
: <a class="el" href="classneuralpp_1_1Synapsis.html#acee77d0fdf9889464ab5ed27beae0ff">neuralpp::Synapsis</a>
|
||||
<li>size()
|
||||
: <a class="el" href="classneuralpp_1_1Layer.html#c8d2f7513e5d40518f9dddfd1e3ddcc5">neuralpp::Layer</a>
|
||||
: <a class="el" href="classneuralpp_1_1Layer.html#7ca71ed62fbe9c1e9c0fb6a8dcaf76f0">neuralpp::Layer</a>
|
||||
<li>split()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#e07af23ceb8666518da0c035bf1e0376">neuralpp::NeuralNet</a>
|
||||
<li>StartAfter()
|
||||
|
|
@ -129,7 +129,7 @@
|
|||
: <a class="el" href="classneuralpp_1_1Neuron.html#655f1637e1b754461413ac7fc2ffeebe">neuralpp::Neuron</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -64,10 +64,10 @@
|
|||
<li>TopIndex()
|
||||
: <a class="el" href="structCMarkup_1_1NodeStack.html#4e9aad88e12b7bbabdbb3fd65fc51585">CMarkup::NodeStack</a>
|
||||
<li>train()
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#e8b8741d28bec1354db555eabe418cb6">neuralpp::NeuralNet</a>
|
||||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#ead4bdef0602a5cadbe3beb685e01f5f">neuralpp::NeuralNet</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -71,7 +71,7 @@
|
|||
: <a class="el" href="classCMarkup.html#8e6cb088e69b6078f5923b0940fd647c">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -61,7 +61,7 @@
|
|||
: <a class="el" href="classCMarkup.html#983286cbcb7c4f9aa1f462ffb5dc641f">CMarkup</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -163,7 +163,7 @@
|
|||
: <a class="el" href="classneuralpp_1_1NeuralNet.html#4be31ecb0b543a192997bd83c6995ccb">neuralpp::NeuralNet</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -69,7 +69,7 @@
|
|||
: <a class="el" href="structCMarkup_1_1SavedPosMapArray.html#6be57f9ebe160aebb464957caa30ddd6">CMarkup::SavedPosMapArray</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -68,11 +68,6 @@
|
|||
: <a class="el" href="structneuralpp_1_1synrecord.html#3a862082dfa0edffce84936818bab374">neuralpp::synrecord</a>
|
||||
<li>delta
|
||||
: <a class="el" href="classneuralpp_1_1Synapsis.html#617fdc4305f8f1850eac267a7ee22660">neuralpp::Synapsis</a>
|
||||
<li>deriv
|
||||
: <a class="el" href="classneuralpp_1_1Neuron.html#8b881889e40e9782c49b0efad2b1dde3">neuralpp::Neuron</a>
|
||||
, <a class="el" href="classneuralpp_1_1Synapsis.html#2940b370c283aa1b63890666942c26bf">neuralpp::Synapsis</a>
|
||||
, <a class="el" href="classneuralpp_1_1NeuralNet.html#df44689f4e6201ca1ddc67655cce3576">neuralpp::NeuralNet</a>
|
||||
, <a class="el" href="classneuralpp_1_1Layer.html#a0207b14ba80aaf03502749ecb7d23fa">neuralpp::Layer</a>
|
||||
</ul>
|
||||
<h3><a class="anchor" name="index_e">- e -</a></h3><ul>
|
||||
<li>elements
|
||||
|
|
@ -263,7 +258,7 @@
|
|||
: <a class="el" href="classneuralpp_1_1Synapsis.html#0bc523a8135ebbb5c0da932939d30ed7">neuralpp::Synapsis</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -145,7 +145,7 @@ Here is a list of all file members with links to the files they belong to:
|
|||
: <a class="el" href="neural_09_09_8hpp.html#839a9222721835f53c5b248241f535f4">neural++.hpp</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -145,7 +145,7 @@
|
|||
: <a class="el" href="neural_09_09_8hpp.html#839a9222721835f53c5b248241f535f4">neural++.hpp</a>
|
||||
</ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -19,7 +19,7 @@
|
|||
<h1>Neural++ Documentation</h1>
|
||||
<p>
|
||||
<h3 align="center">0.3 </h3></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:17 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -14,6 +14,12 @@
|
|||
<li><a href="files.html"><span>Files</span></a></li>
|
||||
</ul>
|
||||
</div>
|
||||
<div class="tabs">
|
||||
<ul>
|
||||
<li><a href="namespaces.html"><span>Namespace List</span></a></li>
|
||||
<li><a href="namespacemembers.html"><span>Namespace Members</span></a></li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
<div class="contents">
|
||||
<h1>neuralpp Namespace Reference</h1>Main namespace for the library.
|
||||
|
|
@ -40,10 +46,43 @@
|
|||
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">struct </td><td class="memItemRight" valign="bottom"><a class="el" href="structneuralpp_1_1synrecord.html">synrecord</a></td></tr>
|
||||
|
||||
<tr><td colspan="2"><br><h2>Functions</h2></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceneuralpp.html#43c8197cc83f65fa9676386579671aec">df</a> (double(*f)(double), double x)</td></tr>
|
||||
|
||||
</table>
|
||||
<hr><a name="_details"></a><h2>Detailed Description</h2>
|
||||
Main namespace for the library. </div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
Main namespace for the library. <hr><h2>Function Documentation</h2>
|
||||
<a class="anchor" name="43c8197cc83f65fa9676386579671aec"></a><!-- doxytag: member="neuralpp::df" ref="43c8197cc83f65fa9676386579671aec" args="(double(*f)(double), double x)" -->
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">double neuralpp::df </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype">double(*)(double) </td>
|
||||
<td class="paramname"> <em>f</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">double </td>
|
||||
<td class="paramname"> <em>x</em></td><td> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
<div class="memdoc">
|
||||
|
||||
<p>
|
||||
|
||||
</div>
|
||||
</div><p>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -14,13 +14,19 @@
|
|||
<li><a href="files.html"><span>Files</span></a></li>
|
||||
</ul>
|
||||
</div>
|
||||
<div class="tabs">
|
||||
<ul>
|
||||
<li class="current"><a href="namespaces.html"><span>Namespace List</span></a></li>
|
||||
<li><a href="namespacemembers.html"><span>Namespace Members</span></a></li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
<div class="contents">
|
||||
<h1>Namespace List</h1>Here is a list of all namespaces with brief descriptions:<table>
|
||||
<tr><td class="indexkey"><a class="el" href="namespaceneuralpp.html">neuralpp</a></td><td class="indexvalue">Main namespace for the library </td></tr>
|
||||
</table>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -36,215 +36,208 @@
|
|||
<a name="l00020"></a>00020 <span class="preprocessor"></span>
|
||||
<a name="l00021"></a>00021 <span class="preprocessor">#include <vector></span>
|
||||
<a name="l00022"></a>00022 <span class="preprocessor">#include <string></span>
|
||||
<a name="l00023"></a>00023
|
||||
<a name="l00024"></a>00024 <span class="preprocessor">#include <cmath></span>
|
||||
<a name="l00025"></a>00025 <span class="preprocessor">#include <ctime></span>
|
||||
<a name="l00026"></a>00026 <span class="preprocessor">#include <cstdio></span>
|
||||
<a name="l00023"></a>00023 <span class="preprocessor">#include <cmath></span>
|
||||
<a name="l00024"></a>00024
|
||||
<a name="l00025"></a>00025 <span class="preprocessor">#include "<a class="code" href="neural_09_09__exception_8hpp.html">neural++_exception.hpp</a>"</span>
|
||||
<a name="l00026"></a>00026 <span class="keyword">using namespace </span>std;
|
||||
<a name="l00027"></a>00027
|
||||
<a name="l00028"></a>00028 <span class="preprocessor">#include "<a class="code" href="neural_09_09__exception_8hpp.html">neural++_exception.hpp</a>"</span>
|
||||
<a name="l00029"></a>00029 <span class="keyword">using namespace </span>std;
|
||||
<a name="l00030"></a>00030
|
||||
<a name="l00032"></a><a class="code" href="neural_09_09_8hpp.html#839a9222721835f53c5b248241f535f4">00032</a> <span class="preprocessor">#define RAND ( abs( sin(rand()) ) )</span>
|
||||
<a name="l00029"></a><a class="code" href="neural_09_09_8hpp.html#839a9222721835f53c5b248241f535f4">00029</a> <span class="preprocessor">#define RAND (double) ( (rand() / (RAND_MAX/2)) - 1)</span>
|
||||
<a name="l00030"></a>00030 <span class="preprocessor"></span>
|
||||
<a name="l00032"></a><a class="code" href="neural_09_09_8hpp.html#05e2bb5b9fc32f0b6b4d84fe43177d72">00032</a> <span class="preprocessor">#define BETA0 0.8</span>
|
||||
<a name="l00033"></a>00033 <span class="preprocessor"></span>
|
||||
<a name="l00035"></a><a class="code" href="neural_09_09_8hpp.html#05e2bb5b9fc32f0b6b4d84fe43177d72">00035</a> <span class="preprocessor">#define BETA0 0.7</span>
|
||||
<a name="l00036"></a>00036 <span class="preprocessor"></span>
|
||||
<a name="l00041"></a>00041 <span class="keyword">namespace </span>neuralpp {
|
||||
<a name="l00042"></a>00042 <span class="keyword">class </span>Synapsis;
|
||||
<a name="l00043"></a>00043 <span class="keyword">class </span>Neuron;
|
||||
<a name="l00044"></a>00044 <span class="keyword">class </span>Layer;
|
||||
<a name="l00045"></a>00045 <span class="keyword">class </span>NeuralNet;
|
||||
<a name="l00046"></a>00046 <span class="keyword">class </span>NetworkFileNotFoundException;
|
||||
<a name="l00047"></a>00047 <span class="keyword">class </span>InvalidXMLException;
|
||||
<a name="l00048"></a>00048
|
||||
<a name="l00053"></a><a class="code" href="classneuralpp_1_1NeuralNet.html">00053</a> <span class="keyword">class </span><a class="code" href="classneuralpp_1_1NeuralNet.html" title="Main project&#39;s class.">NeuralNet</a> {
|
||||
<a name="l00054"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#4cb52dae7b43d03fac73afca7b9f3a51">00054</a> <span class="keywordtype">int</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#4cb52dae7b43d03fac73afca7b9f3a51">epochs</a>;
|
||||
<a name="l00055"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#4f88106c9e542c39eac43b4ca1974a2a">00055</a> <span class="keywordtype">int</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#4f88106c9e542c39eac43b4ca1974a2a">ref_epochs</a>;
|
||||
<a name="l00056"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#6bd7be443e46b2fdbf1da2edb8e611ab">00056</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#6bd7be443e46b2fdbf1da2edb8e611ab">l_rate</a>;
|
||||
<a name="l00057"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">00057</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">ex</a>;
|
||||
<a name="l00058"></a>00058
|
||||
<a name="l00059"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#e2b4e8405f9d25edab395d61502bdba9">00059</a> <a class="code" href="classneuralpp_1_1Layer.html" title="Class for managing layers of neurons.">Layer</a>* <a class="code" href="classneuralpp_1_1NeuralNet.html#e2b4e8405f9d25edab395d61502bdba9">input</a>;
|
||||
<a name="l00060"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#bbdaa1b6c0a1a95d2b18cd25fda2a266">00060</a> <a class="code" href="classneuralpp_1_1Layer.html" title="Class for managing layers of neurons.">Layer</a>* <a class="code" href="classneuralpp_1_1NeuralNet.html#bbdaa1b6c0a1a95d2b18cd25fda2a266">hidden</a>;
|
||||
<a name="l00061"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#fa9b2dbcbb39d0fc70f790ac24069a74">00061</a> <a class="code" href="classneuralpp_1_1Layer.html" title="Class for managing layers of neurons.">Layer</a>* <a class="code" href="classneuralpp_1_1NeuralNet.html#fa9b2dbcbb39d0fc70f790ac24069a74">output</a>;
|
||||
<a name="l00062"></a>00062
|
||||
<a name="l00067"></a>00067 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#94169c89a7cd47122ab5dbf1d5c5e108" title="It updates the weights of the net&#39;s synapsis through back-propagation.">updateWeights</a>();
|
||||
<a name="l00038"></a>00038 <span class="keyword">namespace </span>neuralpp {
|
||||
<a name="l00039"></a>00039 <span class="keyword">class </span>Synapsis;
|
||||
<a name="l00040"></a>00040 <span class="keyword">class </span>Neuron;
|
||||
<a name="l00041"></a>00041 <span class="keyword">class </span>Layer;
|
||||
<a name="l00042"></a>00042 <span class="keyword">class </span>NeuralNet;
|
||||
<a name="l00043"></a>00043
|
||||
<a name="l00044"></a>00044 <span class="keywordtype">double</span> <a class="code" href="namespaceneuralpp.html#43c8197cc83f65fa9676386579671aec">df</a> (<span class="keywordtype">double</span> (*f)(<span class="keywordtype">double</span>), <span class="keywordtype">double</span> x);
|
||||
<a name="l00045"></a>00045
|
||||
<a name="l00050"></a><a class="code" href="classneuralpp_1_1NeuralNet.html">00050</a> <span class="keyword">class </span><a class="code" href="classneuralpp_1_1NeuralNet.html" title="Main project&#39;s class.">NeuralNet</a> {
|
||||
<a name="l00051"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#4cb52dae7b43d03fac73afca7b9f3a51">00051</a> <span class="keywordtype">int</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#4cb52dae7b43d03fac73afca7b9f3a51">epochs</a>;
|
||||
<a name="l00052"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#4f88106c9e542c39eac43b4ca1974a2a">00052</a> <span class="keywordtype">int</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#4f88106c9e542c39eac43b4ca1974a2a">ref_epochs</a>;
|
||||
<a name="l00053"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#6bd7be443e46b2fdbf1da2edb8e611ab">00053</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#6bd7be443e46b2fdbf1da2edb8e611ab">l_rate</a>;
|
||||
<a name="l00054"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">00054</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">ex</a>;
|
||||
<a name="l00055"></a>00055
|
||||
<a name="l00060"></a>00060 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#94169c89a7cd47122ab5dbf1d5c5e108" title="It updates the weights of the net&#39;s synapsis through back-propagation.">updateWeights</a>();
|
||||
<a name="l00061"></a>00061
|
||||
<a name="l00067"></a>00067 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#62695a82dfb1df758a44150921aec8e0" title="It commits the changes made by updateWeights() to the layer l.">commitChanges</a> (<a class="code" href="classneuralpp_1_1Layer.html" title="Class for managing layers of neurons.">Layer</a> *l);
|
||||
<a name="l00068"></a>00068
|
||||
<a name="l00074"></a>00074 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#62695a82dfb1df758a44150921aec8e0" title="It commits the changes made by updateWeights() to the layer l.">commitChanges</a> (<a class="code" href="classneuralpp_1_1Layer.html" title="Class for managing layers of neurons.">Layer</a> *l);
|
||||
<a name="l00075"></a>00075
|
||||
<a name="l00081"></a>00081 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#8a140d28e6dd4097470c7c138801ad01" title="It get the error made on the expected result as |v-v&#39;|/v.">error</a>(<span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">ex</a>);
|
||||
<a name="l00082"></a>00082
|
||||
<a name="l00087"></a>00087 double (*<a class="code" href="classneuralpp_1_1NeuralNet.html#c1469e6afd87d85b82f14bc246f82457" title="Private pointer to function, containing the function to be used as activation function...">actv_f</a>)(double);
|
||||
<a name="l00088"></a>00088
|
||||
<a name="l00093"></a>00093 double (*<a class="code" href="classneuralpp_1_1NeuralNet.html#df44689f4e6201ca1ddc67655cce3576" title="Private pointer to function, containing the function to be used as derivate of the...">deriv</a>)(double);
|
||||
<a name="l00094"></a>00094
|
||||
<a name="l00095"></a>00095 <span class="keyword">public</span>:
|
||||
<a name="l00099"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f6d06b4fe9414a158c97aee1a3679a904">00099</a> <span class="keyword">typedef</span> <span class="keyword">enum</span> { <a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f5ec2727c0756ddb097b53efe49b81afb">file</a>, <a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f6d06b4fe9414a158c97aee1a3679a904">str</a> } <a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f" title="Enum to choose the eventual training source for our network (XML from a file or from...">source</a>;
|
||||
<a name="l00100"></a>00100
|
||||
<a name="l00104"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#92b145f2f6f00bf1ba645ce2235882c2">00104</a> <a class="code" href="classneuralpp_1_1NeuralNet.html#92b145f2f6f00bf1ba645ce2235882c2" title="Empty constructor for the class - it just makes nothing.">NeuralNet</a>() {}
|
||||
<a name="l00105"></a>00105
|
||||
<a name="l00116"></a>00116 <a class="code" href="classneuralpp_1_1NeuralNet.html#92b145f2f6f00bf1ba645ce2235882c2" title="Empty constructor for the class - it just makes nothing.">NeuralNet</a> (<span class="keywordtype">size_t</span> in_size, <span class="keywordtype">size_t</span> hidden_size, <span class="keywordtype">size_t</span> out_size, <span class="keywordtype">double</span> l, <span class="keywordtype">int</span> e);
|
||||
<a name="l00117"></a>00117
|
||||
<a name="l00123"></a>00123 <a class="code" href="classneuralpp_1_1NeuralNet.html#92b145f2f6f00bf1ba645ce2235882c2" title="Empty constructor for the class - it just makes nothing.">NeuralNet</a> (<span class="keyword">const</span> <span class="keywordtype">char</span>* <a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f5ec2727c0756ddb097b53efe49b81afb">file</a>) <span class="keywordflow">throw</span>(NetworkFileNotFoundException);
|
||||
<a name="l00124"></a>00124
|
||||
<a name="l00125"></a>00125
|
||||
<a name="l00138"></a>00138 <a class="code" href="classneuralpp_1_1NeuralNet.html#92b145f2f6f00bf1ba645ce2235882c2" title="Empty constructor for the class - it just makes nothing.">NeuralNet</a> (<span class="keywordtype">size_t</span> in_size, <span class="keywordtype">size_t</span> hidden_size, <span class="keywordtype">size_t</span> out_size,
|
||||
<a name="l00139"></a>00139 <span class="keywordtype">double</span>(*actv)(<span class="keywordtype">double</span>), <span class="keywordtype">double</span>(*<a class="code" href="classneuralpp_1_1NeuralNet.html#df44689f4e6201ca1ddc67655cce3576" title="Private pointer to function, containing the function to be used as derivate of the...">deriv</a>)(<span class="keywordtype">double</span>), <span class="keywordtype">double</span> l, <span class="keywordtype">int</span> e);
|
||||
<a name="l00140"></a>00140
|
||||
<a name="l00146"></a>00146 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#7de7ee318eeb791d21a01e9e9e0e8c5a" title="It gets the output of the network (note: the layer output should contain an only...">getOutput</a>();
|
||||
<a name="l00147"></a>00147
|
||||
<a name="l00152"></a>00152 vector<double> <a class="code" href="classneuralpp_1_1NeuralNet.html#a6b8bf3800b43b58843c65fc431207ae" title="It gets the output of the network in case the output layer contains more neurons...">getOutputs</a>();
|
||||
<a name="l00153"></a>00153
|
||||
<a name="l00159"></a>00159 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#423fd38a61d79905dcc12da84c805114" title="It gets the value expected.">expected</a>();
|
||||
<a name="l00160"></a>00160
|
||||
<a name="l00165"></a>00165 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#b6475762b7e9eab086befdc511f7c236" title="It sets the value you expect from your network.">setExpected</a>(<span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">ex</a>);
|
||||
<a name="l00166"></a>00166
|
||||
<a name="l00172"></a>00172 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#b0bd1daadb06980dff1f50d33a7c098e" title="It updates through back-propagation the weights of the synapsis and computes again...">update</a>();
|
||||
<a name="l00173"></a>00173
|
||||
<a name="l00178"></a>00178 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#c129c180647362da963758bfd1ba6890" title="It propagates values through the network.">propagate</a>();
|
||||
<a name="l00179"></a>00179
|
||||
<a name="l00184"></a>00184 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#0de170e8ab561ad63d0739b4c4b74f68" title="It sets the input for the network.">setInput</a> (vector<double>& v);
|
||||
<a name="l00185"></a>00185
|
||||
<a name="l00190"></a>00190 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#46f23f462318a4ffc037a4e806364c3f" title="It links the layers of the network (input, hidden, output).">link</a>();
|
||||
<a name="l00191"></a>00191
|
||||
<a name="l00196"></a>00196 <span class="keywordtype">bool</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#5db8d6ba4785f732da6e642b4f8f11a0" title="Save a trained neural network to a binary file.">save</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* fname);
|
||||
<a name="l00197"></a>00197
|
||||
<a name="l00205"></a>00205 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#e8b8741d28bec1354db555eabe418cb6" title="Train a network using a training set loaded from an XML file.">train</a>(<span class="keywordtype">string</span> xml, <a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f" title="Enum to choose the eventual training source for our network (XML from a file or from...">source</a> xrc) <span class="keywordflow">throw</span>(InvalidXMLException);
|
||||
<a name="l00206"></a>00206
|
||||
<a name="l00211"></a>00211 <span class="keyword">static</span> <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#45c7645d4affe65752d37cd230afba24" title="Initialize the training XML for the neural network.">initXML</a> (<span class="keywordtype">string</span>& xml);
|
||||
<a name="l00074"></a>00074 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#0616c51404efaca2714e37dd7478997e" title="Get the error made on the expected result as |v-v&#39;|/v.">error</a>(<span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">ex</a>) <span class="keyword">const</span>;
|
||||
<a name="l00075"></a>00075
|
||||
<a name="l00080"></a>00080 double (*<a class="code" href="classneuralpp_1_1NeuralNet.html#c1469e6afd87d85b82f14bc246f82457" title="Private pointer to function, containing the function to be used as activation function...">actv_f</a>)(double);
|
||||
<a name="l00081"></a>00081
|
||||
<a name="l00082"></a>00082 <span class="keyword">public</span>:
|
||||
<a name="l00083"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#e2b4e8405f9d25edab395d61502bdba9">00083</a> <a class="code" href="classneuralpp_1_1Layer.html" title="Class for managing layers of neurons.">Layer</a>* <a class="code" href="classneuralpp_1_1NeuralNet.html#e2b4e8405f9d25edab395d61502bdba9">input</a>;
|
||||
<a name="l00084"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#bbdaa1b6c0a1a95d2b18cd25fda2a266">00084</a> <a class="code" href="classneuralpp_1_1Layer.html" title="Class for managing layers of neurons.">Layer</a>* <a class="code" href="classneuralpp_1_1NeuralNet.html#bbdaa1b6c0a1a95d2b18cd25fda2a266">hidden</a>;
|
||||
<a name="l00085"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#fa9b2dbcbb39d0fc70f790ac24069a74">00085</a> <a class="code" href="classneuralpp_1_1Layer.html" title="Class for managing layers of neurons.">Layer</a>* <a class="code" href="classneuralpp_1_1NeuralNet.html#fa9b2dbcbb39d0fc70f790ac24069a74">output</a>;
|
||||
<a name="l00086"></a>00086
|
||||
<a name="l00090"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f6d06b4fe9414a158c97aee1a3679a904">00090</a> <span class="keyword">typedef</span> <span class="keyword">enum</span> { <a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f5ec2727c0756ddb097b53efe49b81afb">file</a>, <a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f6d06b4fe9414a158c97aee1a3679a904">str</a> } <a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f" title="Enum to choose the eventual training source for our network (XML from a file or from...">source</a>;
|
||||
<a name="l00091"></a>00091
|
||||
<a name="l00095"></a><a class="code" href="classneuralpp_1_1NeuralNet.html#92b145f2f6f00bf1ba645ce2235882c2">00095</a> <a class="code" href="classneuralpp_1_1NeuralNet.html#92b145f2f6f00bf1ba645ce2235882c2" title="Empty constructor for the class - it just makes nothing.">NeuralNet</a>() {}
|
||||
<a name="l00096"></a>00096
|
||||
<a name="l00107"></a>00107 <a class="code" href="classneuralpp_1_1NeuralNet.html#92b145f2f6f00bf1ba645ce2235882c2" title="Empty constructor for the class - it just makes nothing.">NeuralNet</a> (<span class="keywordtype">size_t</span> in_size, <span class="keywordtype">size_t</span> hidden_size, <span class="keywordtype">size_t</span> out_size, <span class="keywordtype">double</span> l, <span class="keywordtype">int</span> e);
|
||||
<a name="l00108"></a>00108
|
||||
<a name="l00114"></a>00114 <a class="code" href="classneuralpp_1_1NeuralNet.html#92b145f2f6f00bf1ba645ce2235882c2" title="Empty constructor for the class - it just makes nothing.">NeuralNet</a> (<span class="keyword">const</span> <span class="keywordtype">string</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f5ec2727c0756ddb097b53efe49b81afb">file</a>) <span class="keywordflow">throw</span>(NetworkFileNotFoundException);
|
||||
<a name="l00115"></a>00115
|
||||
<a name="l00116"></a>00116
|
||||
<a name="l00128"></a>00128 <a class="code" href="classneuralpp_1_1NeuralNet.html#92b145f2f6f00bf1ba645ce2235882c2" title="Empty constructor for the class - it just makes nothing.">NeuralNet</a> (<span class="keywordtype">size_t</span> in_size, <span class="keywordtype">size_t</span> hidden_size, <span class="keywordtype">size_t</span> out_size,
|
||||
<a name="l00129"></a>00129 <span class="keywordtype">double</span>(*actv)(<span class="keywordtype">double</span>), <span class="keywordtype">double</span> l, <span class="keywordtype">int</span> e);
|
||||
<a name="l00130"></a>00130
|
||||
<a name="l00136"></a>00136 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#961dce8913264bf64c899dce4e25f810" title="It gets the output of the network (note: the layer output should contain an only...">getOutput</a>() <span class="keyword">const</span>;
|
||||
<a name="l00137"></a>00137
|
||||
<a name="l00142"></a>00142 vector<double> <a class="code" href="classneuralpp_1_1NeuralNet.html#a6b8bf3800b43b58843c65fc431207ae" title="It gets the output of the network in case the output layer contains more neurons...">getOutputs</a>();
|
||||
<a name="l00143"></a>00143
|
||||
<a name="l00149"></a>00149 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#562dfe9fb8d73bf25a23ce608451d3aa" title="It gets the value expected.">expected</a>() <span class="keyword">const</span>;
|
||||
<a name="l00150"></a>00150
|
||||
<a name="l00155"></a>00155 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#b6475762b7e9eab086befdc511f7c236" title="It sets the value you expect from your network.">setExpected</a>(<span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#261f5f68fcc5be54250cfa03945266dd">ex</a>);
|
||||
<a name="l00156"></a>00156
|
||||
<a name="l00162"></a>00162 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#b0bd1daadb06980dff1f50d33a7c098e" title="It updates through back-propagation the weights of the synapsis and computes again...">update</a>();
|
||||
<a name="l00163"></a>00163
|
||||
<a name="l00168"></a>00168 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#c129c180647362da963758bfd1ba6890" title="It propagates values through the network.">propagate</a>();
|
||||
<a name="l00169"></a>00169
|
||||
<a name="l00174"></a>00174 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#0de170e8ab561ad63d0739b4c4b74f68" title="It sets the input for the network.">setInput</a> (vector<double>& v);
|
||||
<a name="l00175"></a>00175
|
||||
<a name="l00180"></a>00180 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#46f23f462318a4ffc037a4e806364c3f" title="It links the layers of the network (input, hidden, output).">link</a>();
|
||||
<a name="l00181"></a>00181
|
||||
<a name="l00188"></a>00188 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#fdf94c276720c25e565cac834fe8a407" title="Save a trained neural network to a binary file.">save</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* fname) <span class="keywordflow">throw</span>(NetworkFileWriteException);
|
||||
<a name="l00189"></a>00189
|
||||
<a name="l00197"></a>00197 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#ead4bdef0602a5cadbe3beb685e01f5f" title="Train a network using a training set loaded from an XML file.">train</a> (<span class="keywordtype">string</span> xml, <a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f" title="Enum to choose the eventual training source for our network (XML from a file or from...">source</a> src) <span class="keywordflow">throw</span>(InvalidXMLException);
|
||||
<a name="l00198"></a>00198
|
||||
<a name="l00203"></a>00203 <span class="keyword">static</span> <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#45c7645d4affe65752d37cd230afba24" title="Initialize the training XML for the neural network.">initXML</a> (<span class="keywordtype">string</span>& xml);
|
||||
<a name="l00204"></a>00204
|
||||
<a name="l00211"></a>00211 <span class="keyword">static</span> vector<double> <a class="code" href="classneuralpp_1_1NeuralNet.html#e07af23ceb8666518da0c035bf1e0376" title="Splits a string into a vector of doubles, given a delimitator.">split</a> (<span class="keywordtype">char</span> delim, <span class="keywordtype">string</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f6d06b4fe9414a158c97aee1a3679a904">str</a>);
|
||||
<a name="l00212"></a>00212
|
||||
<a name="l00219"></a>00219 <span class="keyword">static</span> vector<double> <a class="code" href="classneuralpp_1_1NeuralNet.html#e07af23ceb8666518da0c035bf1e0376" title="Splits a string into a vector of doubles, given a delimitator.">split</a> (<span class="keywordtype">char</span> delim, <span class="keywordtype">string</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f6d06b4fe9414a158c97aee1a3679a904">str</a>);
|
||||
<a name="l00220"></a>00220
|
||||
<a name="l00233"></a>00233 <span class="keyword">static</span> <span class="keywordtype">string</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#4be31ecb0b543a192997bd83c6995ccb" title="Get a training set from a string and copies it to an XML For example, these strings...">XMLFromSet</a> (<span class="keywordtype">int</span> <span class="keywordtype">id</span>, <span class="keywordtype">string</span> <span class="keyword">set</span>);
|
||||
<a name="l00234"></a>00234
|
||||
<a name="l00239"></a>00239 <span class="keyword">static</span> <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#28b9966c5f197b8e86d57dd104aa32a6" title="Closes an open XML document generated by &quot;initXML&quot; and &quot;XMLFromSet&quot;...">closeXML</a>(<span class="keywordtype">string</span>& xml);
|
||||
<a name="l00240"></a>00240 };
|
||||
<a name="l00241"></a>00241
|
||||
<a name="l00247"></a><a class="code" href="classneuralpp_1_1Synapsis.html">00247</a> <span class="keyword">class </span><a class="code" href="classneuralpp_1_1Synapsis.html" title="Class for managing synapsis.">Synapsis</a> {
|
||||
<a name="l00248"></a><a class="code" href="classneuralpp_1_1Synapsis.html#617fdc4305f8f1850eac267a7ee22660">00248</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#617fdc4305f8f1850eac267a7ee22660">delta</a>;
|
||||
<a name="l00249"></a><a class="code" href="classneuralpp_1_1Synapsis.html#65471cd6c9ef87609dfa4b0e5fafa708">00249</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#65471cd6c9ef87609dfa4b0e5fafa708">prev_delta</a>;
|
||||
<a name="l00250"></a><a class="code" href="classneuralpp_1_1Synapsis.html#0bc523a8135ebbb5c0da932939d30ed7">00250</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#0bc523a8135ebbb5c0da932939d30ed7">weight</a>;
|
||||
<a name="l00251"></a>00251
|
||||
<a name="l00252"></a><a class="code" href="classneuralpp_1_1Synapsis.html#83d41c158054b08bd05051736e89a0ad">00252</a> <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a> *<a class="code" href="classneuralpp_1_1Synapsis.html#83d41c158054b08bd05051736e89a0ad">in</a>;
|
||||
<a name="l00253"></a><a class="code" href="classneuralpp_1_1Synapsis.html#fb219e05038fa0da20db1082ab0500be">00253</a> <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a> *<a class="code" href="classneuralpp_1_1Synapsis.html#fb219e05038fa0da20db1082ab0500be">out</a>;
|
||||
<a name="l00254"></a>00254
|
||||
<a name="l00255"></a>00255 double (*<a class="code" href="classneuralpp_1_1Synapsis.html#2539b9eef2ff0f3522aea8d89e394f02">actv_f</a>)(double);
|
||||
<a name="l00256"></a>00256 double (*<a class="code" href="classneuralpp_1_1Synapsis.html#2940b370c283aa1b63890666942c26bf">deriv</a>)(double);
|
||||
<a name="l00257"></a>00257
|
||||
<a name="l00258"></a>00258 <span class="keyword">public</span>:
|
||||
<a name="l00266"></a>00266 <a class="code" href="classneuralpp_1_1Synapsis.html#0729de9e737b9967421edcfc4b410bd8" title="Constructor.">Synapsis</a>(<a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* i, <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* o, <span class="keywordtype">double</span> w, <span class="keywordtype">double</span> d);
|
||||
<a name="l00267"></a>00267
|
||||
<a name="l00275"></a>00275 <a class="code" href="classneuralpp_1_1Synapsis.html#0729de9e737b9967421edcfc4b410bd8" title="Constructor.">Synapsis</a> (<a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* i, <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* o, <span class="keywordtype">double</span>(*a)(<span class="keywordtype">double</span>), <span class="keywordtype">double</span>(*d)(<span class="keywordtype">double</span>));
|
||||
<a name="l00276"></a>00276
|
||||
<a name="l00285"></a>00285 <a class="code" href="classneuralpp_1_1Synapsis.html#0729de9e737b9967421edcfc4b410bd8" title="Constructor.">Synapsis</a> (<a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* i, <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* o,
|
||||
<a name="l00286"></a>00286 <span class="keywordtype">double</span> w, <span class="keywordtype">double</span>(*a)(<span class="keywordtype">double</span>), <span class="keywordtype">double</span>(*d)(<span class="keywordtype">double</span>));
|
||||
<a name="l00287"></a>00287
|
||||
<a name="l00291"></a>00291 <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* <a class="code" href="classneuralpp_1_1Synapsis.html#5ba8a93a5741f4855390eb8a46e99435">getIn</a>();
|
||||
<a name="l00225"></a>00225 <span class="keyword">static</span> <span class="keywordtype">string</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#4be31ecb0b543a192997bd83c6995ccb" title="Get a training set from a string and copies it to an XML For example, these strings...">XMLFromSet</a> (<span class="keywordtype">int</span> <span class="keywordtype">id</span>, <span class="keywordtype">string</span> <span class="keyword">set</span>);
|
||||
<a name="l00226"></a>00226
|
||||
<a name="l00231"></a>00231 <span class="keyword">static</span> <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1NeuralNet.html#28b9966c5f197b8e86d57dd104aa32a6" title="Closes an open XML document generated by &quot;initXML&quot; and &quot;XMLFromSet&quot;...">closeXML</a>(<span class="keywordtype">string</span>& xml);
|
||||
<a name="l00232"></a>00232 };
|
||||
<a name="l00233"></a>00233
|
||||
<a name="l00239"></a><a class="code" href="classneuralpp_1_1Synapsis.html">00239</a> <span class="keyword">class </span><a class="code" href="classneuralpp_1_1Synapsis.html" title="Class for managing synapsis.">Synapsis</a> {
|
||||
<a name="l00240"></a><a class="code" href="classneuralpp_1_1Synapsis.html#617fdc4305f8f1850eac267a7ee22660">00240</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#617fdc4305f8f1850eac267a7ee22660">delta</a>;
|
||||
<a name="l00241"></a><a class="code" href="classneuralpp_1_1Synapsis.html#65471cd6c9ef87609dfa4b0e5fafa708">00241</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#65471cd6c9ef87609dfa4b0e5fafa708">prev_delta</a>;
|
||||
<a name="l00242"></a><a class="code" href="classneuralpp_1_1Synapsis.html#0bc523a8135ebbb5c0da932939d30ed7">00242</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#0bc523a8135ebbb5c0da932939d30ed7">weight</a>;
|
||||
<a name="l00243"></a>00243
|
||||
<a name="l00244"></a><a class="code" href="classneuralpp_1_1Synapsis.html#83d41c158054b08bd05051736e89a0ad">00244</a> <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a> *<a class="code" href="classneuralpp_1_1Synapsis.html#83d41c158054b08bd05051736e89a0ad">in</a>;
|
||||
<a name="l00245"></a><a class="code" href="classneuralpp_1_1Synapsis.html#fb219e05038fa0da20db1082ab0500be">00245</a> <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a> *<a class="code" href="classneuralpp_1_1Synapsis.html#fb219e05038fa0da20db1082ab0500be">out</a>;
|
||||
<a name="l00246"></a>00246
|
||||
<a name="l00247"></a>00247 double (*<a class="code" href="classneuralpp_1_1Synapsis.html#2539b9eef2ff0f3522aea8d89e394f02">actv_f</a>)(double);
|
||||
<a name="l00248"></a>00248
|
||||
<a name="l00249"></a>00249 <span class="keyword">public</span>:
|
||||
<a name="l00257"></a>00257 <a class="code" href="classneuralpp_1_1Synapsis.html#0729de9e737b9967421edcfc4b410bd8" title="Constructor.">Synapsis</a>(<a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* i, <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* o, <span class="keywordtype">double</span> w, <span class="keywordtype">double</span> d);
|
||||
<a name="l00258"></a>00258
|
||||
<a name="l00265"></a>00265 <a class="code" href="classneuralpp_1_1Synapsis.html#0729de9e737b9967421edcfc4b410bd8" title="Constructor.">Synapsis</a> (<a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* i, <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* o, <span class="keywordtype">double</span>(*a)(<span class="keywordtype">double</span>));
|
||||
<a name="l00266"></a>00266
|
||||
<a name="l00274"></a>00274 <a class="code" href="classneuralpp_1_1Synapsis.html#0729de9e737b9967421edcfc4b410bd8" title="Constructor.">Synapsis</a> (<a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* i, <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* o,
|
||||
<a name="l00275"></a>00275 <span class="keywordtype">double</span> w, <span class="keywordtype">double</span>(*a)(<span class="keywordtype">double</span>));
|
||||
<a name="l00276"></a>00276
|
||||
<a name="l00280"></a>00280 <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* <a class="code" href="classneuralpp_1_1Synapsis.html#5ba8a93a5741f4855390eb8a46e99435">getIn</a>();
|
||||
<a name="l00281"></a>00281
|
||||
<a name="l00285"></a>00285 <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* <a class="code" href="classneuralpp_1_1Synapsis.html#61c9a04e03291a01f44520cef143cbdd">getOut</a>();
|
||||
<a name="l00286"></a>00286
|
||||
<a name="l00291"></a>00291 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Synapsis.html#acee77d0fdf9889464ab5ed27beae0ff" title="Set the weight of the synapsis.">setWeight</a>(<span class="keywordtype">double</span> w) <span class="keywordflow">throw</span>(InvalidSynapticalWeightException);
|
||||
<a name="l00292"></a>00292
|
||||
<a name="l00296"></a>00296 <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>* <a class="code" href="classneuralpp_1_1Synapsis.html#61c9a04e03291a01f44520cef143cbdd">getOut</a>();
|
||||
<a name="l00297"></a>00297
|
||||
<a name="l00302"></a>00302 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Synapsis.html#acee77d0fdf9889464ab5ed27beae0ff" title="Set the weight of the synapsis.">setWeight</a>(<span class="keywordtype">double</span> w);
|
||||
<a name="l00303"></a>00303
|
||||
<a name="l00309"></a>00309 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Synapsis.html#429ad5b25930faf436a9d725582802e1" title="It sets the delta (how much to change the weight after an update) of the synapsis...">setDelta</a>(<span class="keywordtype">double</span> d);
|
||||
<a name="l00310"></a>00310
|
||||
<a name="l00315"></a>00315 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#aa79c16ec6b59949e5d2f75a3f10d530" title="Return the weight of the synapsis.">getWeight</a>();
|
||||
<a name="l00316"></a>00316
|
||||
<a name="l00321"></a>00321 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#18f15b920609be8b818d43a0227aada5" title="Return the delta of the synapsis.">getDelta</a>();
|
||||
<a name="l00322"></a>00322
|
||||
<a name="l00327"></a>00327 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#2fe3e9ec97542f1476d8b9306aa09756" title="Get the delta of the synapsis at the previous iteration.">getPrevDelta</a>();
|
||||
<a name="l00328"></a>00328
|
||||
<a name="l00339"></a>00339 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#ecdb17182de791f7fdd417232e184350" title="Get the inertial momentum of a synapsis.">momentum</a> (<span class="keywordtype">int</span> N, <span class="keywordtype">int</span> x);
|
||||
<a name="l00340"></a>00340 };
|
||||
<a name="l00341"></a>00341
|
||||
<a name="l00347"></a><a class="code" href="classneuralpp_1_1Neuron.html">00347</a> <span class="keyword">class </span><a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a> {
|
||||
<a name="l00348"></a><a class="code" href="classneuralpp_1_1Neuron.html#eec680c47272b2465e8d8a998c359853">00348</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Neuron.html#eec680c47272b2465e8d8a998c359853">actv_val</a>;
|
||||
<a name="l00349"></a><a class="code" href="classneuralpp_1_1Neuron.html#da75259de98b1a893c736666af6bfdc3">00349</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Neuron.html#da75259de98b1a893c736666af6bfdc3">prop_val</a>;
|
||||
<a name="l00350"></a>00350
|
||||
<a name="l00351"></a><a class="code" href="classneuralpp_1_1Neuron.html#ead827210fa18c2baae03927b2c798ff">00351</a> vector< Synapsis > <a class="code" href="classneuralpp_1_1Neuron.html#ead827210fa18c2baae03927b2c798ff">in</a>;
|
||||
<a name="l00352"></a><a class="code" href="classneuralpp_1_1Neuron.html#82a4297f84d6403e52a8386d26117b4f">00352</a> vector< Synapsis > <a class="code" href="classneuralpp_1_1Neuron.html#82a4297f84d6403e52a8386d26117b4f">out</a>;
|
||||
<a name="l00353"></a>00353
|
||||
<a name="l00354"></a>00354 double (*<a class="code" href="classneuralpp_1_1Neuron.html#198ddd0d11a26d0052d52b787d6a0df0">actv_f</a>)(double);
|
||||
<a name="l00355"></a>00355 double (*<a class="code" href="classneuralpp_1_1Neuron.html#8b881889e40e9782c49b0efad2b1dde3">deriv</a>)(double);
|
||||
<a name="l00356"></a>00356 <span class="keyword">public</span>:
|
||||
<a name="l00362"></a>00362 <a class="code" href="classneuralpp_1_1Neuron.html#c877424a295478e3464046ea43c2a7ad" title="Constructor.">Neuron</a> (<span class="keywordtype">double</span> (*a)(<span class="keywordtype">double</span>), <span class="keywordtype">double</span>(*d)(<span class="keywordtype">double</span>));
|
||||
<a name="l00363"></a>00363
|
||||
<a name="l00371"></a>00371 <a class="code" href="classneuralpp_1_1Neuron.html#c877424a295478e3464046ea43c2a7ad" title="Constructor.">Neuron</a> (vector<Synapsis> <a class="code" href="classneuralpp_1_1Neuron.html#ead827210fa18c2baae03927b2c798ff">in</a>, vector<Synapsis> <a class="code" href="classneuralpp_1_1Neuron.html#82a4297f84d6403e52a8386d26117b4f">out</a>,
|
||||
<a name="l00372"></a>00372 <span class="keywordtype">double</span> (*a)(<span class="keywordtype">double</span>), <span class="keywordtype">double</span>(*d)(<span class="keywordtype">double</span>));
|
||||
<a name="l00373"></a>00373
|
||||
<a name="l00379"></a>00379 <a class="code" href="classneuralpp_1_1Synapsis.html" title="Class for managing synapsis.">Synapsis</a>& <a class="code" href="classneuralpp_1_1Neuron.html#29f2d9dcc4ca34f224d4dc39bb2f180a" title="Get the i-th synapsis connected on the input of the neuron.">synIn</a> (<span class="keywordtype">size_t</span> i);
|
||||
<a name="l00298"></a>00298 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Synapsis.html#429ad5b25930faf436a9d725582802e1" title="It sets the delta (how much to change the weight after an update) of the synapsis...">setDelta</a>(<span class="keywordtype">double</span> d) <span class="keywordflow">throw</span>(InvalidSynapticalWeightException);
|
||||
<a name="l00299"></a>00299
|
||||
<a name="l00304"></a>00304 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#aa79c16ec6b59949e5d2f75a3f10d530" title="Return the weight of the synapsis.">getWeight</a>();
|
||||
<a name="l00305"></a>00305
|
||||
<a name="l00310"></a>00310 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#18f15b920609be8b818d43a0227aada5" title="Return the delta of the synapsis.">getDelta</a>();
|
||||
<a name="l00311"></a>00311
|
||||
<a name="l00316"></a>00316 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#2fe3e9ec97542f1476d8b9306aa09756" title="Get the delta of the synapsis at the previous iteration.">getPrevDelta</a>();
|
||||
<a name="l00317"></a>00317
|
||||
<a name="l00328"></a>00328 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Synapsis.html#ecdb17182de791f7fdd417232e184350" title="Get the inertial momentum of a synapsis.">momentum</a> (<span class="keywordtype">int</span> N, <span class="keywordtype">int</span> x);
|
||||
<a name="l00329"></a>00329 };
|
||||
<a name="l00330"></a>00330
|
||||
<a name="l00336"></a><a class="code" href="classneuralpp_1_1Neuron.html">00336</a> <span class="keyword">class </span><a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a> {
|
||||
<a name="l00337"></a><a class="code" href="classneuralpp_1_1Neuron.html#eec680c47272b2465e8d8a998c359853">00337</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Neuron.html#eec680c47272b2465e8d8a998c359853">actv_val</a>;
|
||||
<a name="l00338"></a><a class="code" href="classneuralpp_1_1Neuron.html#da75259de98b1a893c736666af6bfdc3">00338</a> <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Neuron.html#da75259de98b1a893c736666af6bfdc3">prop_val</a>;
|
||||
<a name="l00339"></a>00339
|
||||
<a name="l00340"></a><a class="code" href="classneuralpp_1_1Neuron.html#ead827210fa18c2baae03927b2c798ff">00340</a> vector< Synapsis > <a class="code" href="classneuralpp_1_1Neuron.html#ead827210fa18c2baae03927b2c798ff">in</a>;
|
||||
<a name="l00341"></a><a class="code" href="classneuralpp_1_1Neuron.html#82a4297f84d6403e52a8386d26117b4f">00341</a> vector< Synapsis > <a class="code" href="classneuralpp_1_1Neuron.html#82a4297f84d6403e52a8386d26117b4f">out</a>;
|
||||
<a name="l00342"></a>00342
|
||||
<a name="l00343"></a>00343 double (*<a class="code" href="classneuralpp_1_1Neuron.html#198ddd0d11a26d0052d52b787d6a0df0">actv_f</a>)(double);
|
||||
<a name="l00344"></a>00344
|
||||
<a name="l00345"></a>00345 <span class="keyword">public</span>:
|
||||
<a name="l00350"></a>00350 <a class="code" href="classneuralpp_1_1Neuron.html#9863a08b73bc97c8b514aca6c580ff7b" title="Constructor.">Neuron</a> (<span class="keywordtype">double</span> (*a)(<span class="keywordtype">double</span>));
|
||||
<a name="l00351"></a>00351
|
||||
<a name="l00358"></a>00358 <a class="code" href="classneuralpp_1_1Neuron.html#9863a08b73bc97c8b514aca6c580ff7b" title="Constructor.">Neuron</a> (vector<Synapsis> <a class="code" href="classneuralpp_1_1Neuron.html#ead827210fa18c2baae03927b2c798ff">in</a>, vector<Synapsis> <a class="code" href="classneuralpp_1_1Neuron.html#82a4297f84d6403e52a8386d26117b4f">out</a>,
|
||||
<a name="l00359"></a>00359 <span class="keywordtype">double</span> (*a)(<span class="keywordtype">double</span>));
|
||||
<a name="l00360"></a>00360
|
||||
<a name="l00366"></a>00366 <a class="code" href="classneuralpp_1_1Synapsis.html" title="Class for managing synapsis.">Synapsis</a>& <a class="code" href="classneuralpp_1_1Neuron.html#29f2d9dcc4ca34f224d4dc39bb2f180a" title="Get the i-th synapsis connected on the input of the neuron.">synIn</a> (<span class="keywordtype">size_t</span> i);
|
||||
<a name="l00367"></a>00367
|
||||
<a name="l00373"></a>00373 <a class="code" href="classneuralpp_1_1Synapsis.html" title="Class for managing synapsis.">Synapsis</a>& <a class="code" href="classneuralpp_1_1Neuron.html#655f1637e1b754461413ac7fc2ffeebe" title="Get the i-th synapsis connected on the output of the neuron.">synOut</a> (<span class="keywordtype">size_t</span> i);
|
||||
<a name="l00374"></a>00374
|
||||
<a name="l00379"></a>00379 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Neuron.html#583ada6e1dd3f2e113415b4d89196e62" title="It pushes a new input synapsis.">push_in</a> (<a class="code" href="classneuralpp_1_1Synapsis.html" title="Class for managing synapsis.">Synapsis</a>& s);
|
||||
<a name="l00380"></a>00380
|
||||
<a name="l00386"></a>00386 <a class="code" href="classneuralpp_1_1Synapsis.html" title="Class for managing synapsis.">Synapsis</a>& <a class="code" href="classneuralpp_1_1Neuron.html#655f1637e1b754461413ac7fc2ffeebe" title="Get the i-th synapsis connected on the output of the neuron.">synOut</a> (<span class="keywordtype">size_t</span> i);
|
||||
<a name="l00387"></a>00387
|
||||
<a name="l00392"></a>00392 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Neuron.html#583ada6e1dd3f2e113415b4d89196e62" title="It pushes a new input synapsis.">push_in</a> (<a class="code" href="classneuralpp_1_1Synapsis.html" title="Class for managing synapsis.">Synapsis</a>& s);
|
||||
<a name="l00393"></a>00393
|
||||
<a name="l00398"></a>00398 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Neuron.html#bca65db84f56f9d40694bfbcd25812cb" title="It pushes a new output synapsis.">push_out</a> (<a class="code" href="classneuralpp_1_1Synapsis.html" title="Class for managing synapsis.">Synapsis</a>& s);
|
||||
<a name="l00399"></a>00399
|
||||
<a name="l00404"></a>00404 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Neuron.html#ddf00ffef030b27ed11901aad08822bd" title="Change the activation value of the neuron.">setActv</a> (<span class="keywordtype">double</span> a);
|
||||
<a name="l00405"></a>00405
|
||||
<a name="l00410"></a>00410 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Neuron.html#aa6e58f073a76b3481fea9115a4e6ea6" title="Change the propagation value of the neuron.">setProp</a> (<span class="keywordtype">double</span> p);
|
||||
<a name="l00411"></a>00411
|
||||
<a name="l00416"></a>00416 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Neuron.html#55993867179f0ac7d1e0e2c460ceb611" title="Get the activation value of the neuron.">getActv</a>();
|
||||
<a name="l00417"></a>00417
|
||||
<a name="l00422"></a>00422 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Neuron.html#57c022f82213f662e2a263fc134a3fc9" title="Get the propagation value of the neuron.">getProp</a>();
|
||||
<a name="l00423"></a>00423
|
||||
<a name="l00427"></a>00427 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Neuron.html#8b0ca61cd0e047c8691ab39aae56dbda" title="It propagates its activation value to the connected neurons.">propagate</a>();
|
||||
<a name="l00428"></a>00428
|
||||
<a name="l00433"></a>00433 <span class="keywordtype">size_t</span> <a class="code" href="classneuralpp_1_1Neuron.html#ad97f1a082d5f969eb4c69ab454ecfbb" title="Get the number of input synapsis for the neuron.">nIn</a>();
|
||||
<a name="l00434"></a>00434
|
||||
<a name="l00439"></a>00439 <span class="keywordtype">size_t</span> <a class="code" href="classneuralpp_1_1Neuron.html#fe458021e3b20d58dc608fb94ae2135b" title="Get the number of output synapsis for the neuron.">nOut</a>();
|
||||
<a name="l00440"></a>00440
|
||||
<a name="l00444"></a>00444 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Neuron.html#2e2ccb69277fc3d992a3a3f2360ed154" title="Remove input and output synapsis from a neuron.">synClear</a>();
|
||||
<a name="l00445"></a>00445 };
|
||||
<a name="l00446"></a>00446
|
||||
<a name="l00452"></a><a class="code" href="classneuralpp_1_1Layer.html">00452</a> <span class="keyword">class </span><a class="code" href="classneuralpp_1_1Layer.html" title="Class for managing layers of neurons.">Layer</a> {
|
||||
<a name="l00453"></a><a class="code" href="classneuralpp_1_1Layer.html#855685c9da56b06b629e13a2f8c719ce">00453</a> vector<Neuron> <a class="code" href="classneuralpp_1_1Layer.html#855685c9da56b06b629e13a2f8c719ce">elements</a>;
|
||||
<a name="l00454"></a>00454
|
||||
<a name="l00455"></a>00455 void (*<a class="code" href="classneuralpp_1_1Layer.html#c023a15a16353d0b4f44060a159f550f">update_weights</a>)();
|
||||
<a name="l00456"></a>00456 double (*<a class="code" href="classneuralpp_1_1Layer.html#824367da29f92253a027a7c5b4a4405e">actv_f</a>)(double);
|
||||
<a name="l00457"></a>00457 double (*<a class="code" href="classneuralpp_1_1Layer.html#a0207b14ba80aaf03502749ecb7d23fa">deriv</a>)(double);
|
||||
<a name="l00458"></a>00458
|
||||
<a name="l00459"></a>00459 <span class="keyword">public</span>:
|
||||
<a name="l00466"></a>00466 <a class="code" href="classneuralpp_1_1Layer.html#411a4dc8a1bb2fe44fe7a69fa50fd764" title="Constructor.">Layer</a> (<span class="keywordtype">size_t</span> sz, <span class="keywordtype">double</span> (*a)(<span class="keywordtype">double</span>), <span class="keywordtype">double</span>(*d)(<span class="keywordtype">double</span>));
|
||||
<a name="l00385"></a>00385 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Neuron.html#bca65db84f56f9d40694bfbcd25812cb" title="It pushes a new output synapsis.">push_out</a> (<a class="code" href="classneuralpp_1_1Synapsis.html" title="Class for managing synapsis.">Synapsis</a>& s);
|
||||
<a name="l00386"></a>00386
|
||||
<a name="l00391"></a>00391 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Neuron.html#ddf00ffef030b27ed11901aad08822bd" title="Change the activation value of the neuron.">setActv</a> (<span class="keywordtype">double</span> a);
|
||||
<a name="l00392"></a>00392
|
||||
<a name="l00397"></a>00397 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Neuron.html#aa6e58f073a76b3481fea9115a4e6ea6" title="Change the propagation value of the neuron.">setProp</a> (<span class="keywordtype">double</span> p);
|
||||
<a name="l00398"></a>00398
|
||||
<a name="l00403"></a>00403 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Neuron.html#55993867179f0ac7d1e0e2c460ceb611" title="Get the activation value of the neuron.">getActv</a>();
|
||||
<a name="l00404"></a>00404
|
||||
<a name="l00409"></a>00409 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Neuron.html#57c022f82213f662e2a263fc134a3fc9" title="Get the propagation value of the neuron.">getProp</a>();
|
||||
<a name="l00410"></a>00410
|
||||
<a name="l00414"></a>00414 <span class="keywordtype">double</span> <a class="code" href="classneuralpp_1_1Neuron.html#8b0ca61cd0e047c8691ab39aae56dbda" title="It propagates its activation value to the connected neurons.">propagate</a>();
|
||||
<a name="l00415"></a>00415
|
||||
<a name="l00420"></a>00420 <span class="keywordtype">size_t</span> <a class="code" href="classneuralpp_1_1Neuron.html#ad97f1a082d5f969eb4c69ab454ecfbb" title="Get the number of input synapsis for the neuron.">nIn</a>();
|
||||
<a name="l00421"></a>00421
|
||||
<a name="l00426"></a>00426 <span class="keywordtype">size_t</span> <a class="code" href="classneuralpp_1_1Neuron.html#fe458021e3b20d58dc608fb94ae2135b" title="Get the number of output synapsis for the neuron.">nOut</a>();
|
||||
<a name="l00427"></a>00427
|
||||
<a name="l00431"></a>00431 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Neuron.html#2e2ccb69277fc3d992a3a3f2360ed154" title="Remove input and output synapsis from a neuron.">synClear</a>();
|
||||
<a name="l00432"></a>00432 };
|
||||
<a name="l00433"></a>00433
|
||||
<a name="l00439"></a><a class="code" href="classneuralpp_1_1Layer.html">00439</a> <span class="keyword">class </span><a class="code" href="classneuralpp_1_1Layer.html" title="Class for managing layers of neurons.">Layer</a> {
|
||||
<a name="l00440"></a><a class="code" href="classneuralpp_1_1Layer.html#855685c9da56b06b629e13a2f8c719ce">00440</a> vector<Neuron> <a class="code" href="classneuralpp_1_1Layer.html#855685c9da56b06b629e13a2f8c719ce">elements</a>;
|
||||
<a name="l00441"></a>00441
|
||||
<a name="l00442"></a>00442 void (*<a class="code" href="classneuralpp_1_1Layer.html#c023a15a16353d0b4f44060a159f550f">update_weights</a>)();
|
||||
<a name="l00443"></a>00443 double (*<a class="code" href="classneuralpp_1_1Layer.html#824367da29f92253a027a7c5b4a4405e">actv_f</a>)(double);
|
||||
<a name="l00444"></a>00444
|
||||
<a name="l00445"></a>00445 <span class="keyword">public</span>:
|
||||
<a name="l00451"></a>00451 <a class="code" href="classneuralpp_1_1Layer.html#fb08bddd85d36570dabfe915461f07c5" title="Constructor.">Layer</a> (<span class="keywordtype">size_t</span> sz, <span class="keywordtype">double</span> (*a)(<span class="keywordtype">double</span>));
|
||||
<a name="l00452"></a>00452
|
||||
<a name="l00459"></a>00459 <a class="code" href="classneuralpp_1_1Layer.html#fb08bddd85d36570dabfe915461f07c5" title="Constructor.">Layer</a> (vector<Neuron>& neurons, <span class="keywordtype">double</span>(*a)(<span class="keywordtype">double</span>));
|
||||
<a name="l00460"></a>00460
|
||||
<a name="l00466"></a>00466 <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>& <a class="code" href="classneuralpp_1_1Layer.html#45ff7554830558155c6fbce3b6827122" title="Redefinition for operator [].">operator[] </a>(<span class="keywordtype">size_t</span> i) <span class="keywordflow">throw</span>(NetworkIndexOutOfBoundsException);
|
||||
<a name="l00467"></a>00467
|
||||
<a name="l00475"></a>00475 <a class="code" href="classneuralpp_1_1Layer.html#411a4dc8a1bb2fe44fe7a69fa50fd764" title="Constructor.">Layer</a> (vector<Neuron>& neurons, <span class="keywordtype">double</span>(*a)(<span class="keywordtype">double</span>), <span class="keywordtype">double</span>(*d)(<span class="keywordtype">double</span>));
|
||||
<a name="l00476"></a>00476
|
||||
<a name="l00482"></a>00482 <a class="code" href="classneuralpp_1_1Neuron.html" title="Class for managing neurons.">Neuron</a>& <a class="code" href="classneuralpp_1_1Layer.html#45ff7554830558155c6fbce3b6827122" title="Redefinition for operator [].">operator[] </a>(<span class="keywordtype">size_t</span> i);
|
||||
<a name="l00483"></a>00483
|
||||
<a name="l00488"></a>00488 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Layer.html#ac33444fde14633fa1ad4acb024ad150" title="It links a layer to another.">link</a> (<a class="code" href="classneuralpp_1_1Layer.html" title="Class for managing layers of neurons.">Layer</a>& l);
|
||||
<a name="l00489"></a>00489
|
||||
<a name="l00494"></a>00494 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Layer.html#dbad95f635343a2998794113d7762cf7" title="It sets a vector of propagation values to all its neurons.">setProp</a> (vector<double>& v);
|
||||
<a name="l00495"></a>00495
|
||||
<a name="l00500"></a>00500 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Layer.html#98f79281b680b1d18fd91fa5794c0899" title="It sets a vector of activation values to all its neurons.">setActv</a> (vector<double>& v);
|
||||
<a name="l00472"></a>00472 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Layer.html#ac33444fde14633fa1ad4acb024ad150" title="It links a layer to another.">link</a> (<a class="code" href="classneuralpp_1_1Layer.html" title="Class for managing layers of neurons.">Layer</a>& l);
|
||||
<a name="l00473"></a>00473
|
||||
<a name="l00478"></a>00478 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Layer.html#dbad95f635343a2998794113d7762cf7" title="It sets a vector of propagation values to all its neurons.">setProp</a> (vector<double>& v);
|
||||
<a name="l00479"></a>00479
|
||||
<a name="l00484"></a>00484 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Layer.html#98f79281b680b1d18fd91fa5794c0899" title="It sets a vector of activation values to all its neurons.">setActv</a> (vector<double>& v);
|
||||
<a name="l00485"></a>00485
|
||||
<a name="l00489"></a>00489 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Layer.html#fcfd306039dbaf91c9e2dcc8fc1f1ce1" title="It propagates its activation values to the output layers.">propagate</a>();
|
||||
<a name="l00490"></a>00490
|
||||
<a name="l00494"></a>00494 <span class="keywordtype">size_t</span> <a class="code" href="classneuralpp_1_1Layer.html#7ca71ed62fbe9c1e9c0fb6a8dcaf76f0">size</a>() <span class="keyword">const</span>;
|
||||
<a name="l00495"></a>00495 };
|
||||
<a name="l00496"></a>00496
|
||||
<a name="l00497"></a><a class="code" href="structneuralpp_1_1netrecord.html">00497</a> <span class="keyword">struct </span><a class="code" href="structneuralpp_1_1netrecord.html">netrecord</a> {
|
||||
<a name="l00498"></a><a class="code" href="structneuralpp_1_1netrecord.html#e1f480bfef05033accef40f77c09fa87">00498</a> <span class="keywordtype">int</span> <a class="code" href="structneuralpp_1_1netrecord.html#e1f480bfef05033accef40f77c09fa87">input_size</a>;
|
||||
<a name="l00499"></a><a class="code" href="structneuralpp_1_1netrecord.html#3c1728ac66c37f6ac85c404d4f55552e">00499</a> <span class="keywordtype">int</span> hidden_size;
|
||||
<a name="l00500"></a><a class="code" href="structneuralpp_1_1netrecord.html#95f2b0651dd3a0e5e7201ff354e401b4">00500</a> <span class="keywordtype">int</span> <a class="code" href="structneuralpp_1_1netrecord.html#95f2b0651dd3a0e5e7201ff354e401b4">output_size</a>;
|
||||
<a name="l00501"></a>00501
|
||||
<a name="l00505"></a>00505 <span class="keywordtype">void</span> <a class="code" href="classneuralpp_1_1Layer.html#fcfd306039dbaf91c9e2dcc8fc1f1ce1" title="It propagates its activation values to the output layers.">propagate</a>();
|
||||
<a name="l00502"></a><a class="code" href="structneuralpp_1_1netrecord.html#ab0149ed5ea0694e88213a07cd4427d1">00502</a> <span class="keywordtype">int</span> <a class="code" href="structneuralpp_1_1netrecord.html#ab0149ed5ea0694e88213a07cd4427d1">epochs</a>;
|
||||
<a name="l00503"></a><a class="code" href="structneuralpp_1_1netrecord.html#a4f793a39a40144e811fef4d3d2d2b30">00503</a> <span class="keywordtype">double</span> <a class="code" href="structneuralpp_1_1netrecord.html#a4f793a39a40144e811fef4d3d2d2b30">l_rate</a>;
|
||||
<a name="l00504"></a><a class="code" href="structneuralpp_1_1netrecord.html#dcc44fde3f67058d26ef2d5cbd0904e6">00504</a> <span class="keywordtype">double</span> <a class="code" href="structneuralpp_1_1netrecord.html#dcc44fde3f67058d26ef2d5cbd0904e6">ex</a>;
|
||||
<a name="l00505"></a>00505 };
|
||||
<a name="l00506"></a>00506
|
||||
<a name="l00510"></a>00510 <span class="keywordtype">size_t</span> <a class="code" href="classneuralpp_1_1Layer.html#c8d2f7513e5d40518f9dddfd1e3ddcc5">size</a>();
|
||||
<a name="l00511"></a>00511 };
|
||||
<a name="l00512"></a>00512
|
||||
<a name="l00513"></a><a class="code" href="structneuralpp_1_1netrecord.html">00513</a> <span class="keyword">struct </span><a class="code" href="structneuralpp_1_1netrecord.html">netrecord</a> {
|
||||
<a name="l00514"></a><a class="code" href="structneuralpp_1_1netrecord.html#e1f480bfef05033accef40f77c09fa87">00514</a> <span class="keywordtype">int</span> <a class="code" href="structneuralpp_1_1netrecord.html#e1f480bfef05033accef40f77c09fa87">input_size</a>;
|
||||
<a name="l00515"></a><a class="code" href="structneuralpp_1_1netrecord.html#3c1728ac66c37f6ac85c404d4f55552e">00515</a> <span class="keywordtype">int</span> hidden_size;
|
||||
<a name="l00516"></a><a class="code" href="structneuralpp_1_1netrecord.html#95f2b0651dd3a0e5e7201ff354e401b4">00516</a> <span class="keywordtype">int</span> <a class="code" href="structneuralpp_1_1netrecord.html#95f2b0651dd3a0e5e7201ff354e401b4">output_size</a>;
|
||||
<a name="l00507"></a><a class="code" href="structneuralpp_1_1neuronrecord.html">00507</a> <span class="keyword">struct </span><a class="code" href="structneuralpp_1_1neuronrecord.html">neuronrecord</a> {
|
||||
<a name="l00508"></a><a class="code" href="structneuralpp_1_1neuronrecord.html#30b298a95939b88b565fefc2dc57e89d">00508</a> <span class="keywordtype">double</span> <a class="code" href="structneuralpp_1_1neuronrecord.html#30b298a95939b88b565fefc2dc57e89d">prop</a>;
|
||||
<a name="l00509"></a><a class="code" href="structneuralpp_1_1neuronrecord.html#15201b190584987255d81d4b7e773375">00509</a> <span class="keywordtype">double</span> <a class="code" href="structneuralpp_1_1neuronrecord.html#15201b190584987255d81d4b7e773375">actv</a>;
|
||||
<a name="l00510"></a>00510 };
|
||||
<a name="l00511"></a>00511
|
||||
<a name="l00512"></a><a class="code" href="structneuralpp_1_1synrecord.html">00512</a> <span class="keyword">struct </span><a class="code" href="structneuralpp_1_1synrecord.html">synrecord</a> {
|
||||
<a name="l00513"></a><a class="code" href="structneuralpp_1_1synrecord.html#81a7dbc97eecbf5bc85cac46373a78d2">00513</a> <span class="keywordtype">double</span> w;
|
||||
<a name="l00514"></a><a class="code" href="structneuralpp_1_1synrecord.html#3a862082dfa0edffce84936818bab374">00514</a> <span class="keywordtype">double</span> <a class="code" href="structneuralpp_1_1synrecord.html#3a862082dfa0edffce84936818bab374">d</a>;
|
||||
<a name="l00515"></a>00515 };
|
||||
<a name="l00516"></a>00516 }
|
||||
<a name="l00517"></a>00517
|
||||
<a name="l00518"></a><a class="code" href="structneuralpp_1_1netrecord.html#ab0149ed5ea0694e88213a07cd4427d1">00518</a> <span class="keywordtype">int</span> <a class="code" href="structneuralpp_1_1netrecord.html#ab0149ed5ea0694e88213a07cd4427d1">epochs</a>;
|
||||
<a name="l00519"></a><a class="code" href="structneuralpp_1_1netrecord.html#a4f793a39a40144e811fef4d3d2d2b30">00519</a> <span class="keywordtype">double</span> <a class="code" href="structneuralpp_1_1netrecord.html#a4f793a39a40144e811fef4d3d2d2b30">l_rate</a>;
|
||||
<a name="l00520"></a><a class="code" href="structneuralpp_1_1netrecord.html#dcc44fde3f67058d26ef2d5cbd0904e6">00520</a> <span class="keywordtype">double</span> <a class="code" href="structneuralpp_1_1netrecord.html#dcc44fde3f67058d26ef2d5cbd0904e6">ex</a>;
|
||||
<a name="l00521"></a>00521 };
|
||||
<a name="l00522"></a>00522
|
||||
<a name="l00523"></a><a class="code" href="structneuralpp_1_1neuronrecord.html">00523</a> <span class="keyword">struct </span><a class="code" href="structneuralpp_1_1neuronrecord.html">neuronrecord</a> {
|
||||
<a name="l00524"></a><a class="code" href="structneuralpp_1_1neuronrecord.html#30b298a95939b88b565fefc2dc57e89d">00524</a> <span class="keywordtype">double</span> <a class="code" href="structneuralpp_1_1neuronrecord.html#30b298a95939b88b565fefc2dc57e89d">prop</a>;
|
||||
<a name="l00525"></a><a class="code" href="structneuralpp_1_1neuronrecord.html#15201b190584987255d81d4b7e773375">00525</a> <span class="keywordtype">double</span> <a class="code" href="structneuralpp_1_1neuronrecord.html#15201b190584987255d81d4b7e773375">actv</a>;
|
||||
<a name="l00526"></a>00526 };
|
||||
<a name="l00527"></a>00527
|
||||
<a name="l00528"></a><a class="code" href="structneuralpp_1_1synrecord.html">00528</a> <span class="keyword">struct </span><a class="code" href="structneuralpp_1_1synrecord.html">synrecord</a> {
|
||||
<a name="l00529"></a><a class="code" href="structneuralpp_1_1synrecord.html#81a7dbc97eecbf5bc85cac46373a78d2">00529</a> <span class="keywordtype">double</span> w;
|
||||
<a name="l00530"></a><a class="code" href="structneuralpp_1_1synrecord.html#3a862082dfa0edffce84936818bab374">00530</a> <span class="keywordtype">double</span> <a class="code" href="structneuralpp_1_1synrecord.html#3a862082dfa0edffce84936818bab374">d</a>;
|
||||
<a name="l00531"></a>00531 };
|
||||
<a name="l00532"></a>00532 }
|
||||
<a name="l00533"></a>00533
|
||||
<a name="l00534"></a>00534 <span class="preprocessor">#endif</span>
|
||||
<a name="l00535"></a>00535 <span class="preprocessor"></span><span class="comment">//#endif</span>
|
||||
<a name="l00536"></a>00536
|
||||
<a name="l00518"></a>00518 <span class="comment">//#endif</span>
|
||||
<a name="l00519"></a>00519 <span class="preprocessor">#endif</span>
|
||||
<a name="l00520"></a>00520 <span class="preprocessor"></span>
|
||||
</pre></div></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -19,8 +19,6 @@
|
|||
<h1>neural++.hpp File Reference</h1><code>#include <vector></code><br>
|
||||
<code>#include <string></code><br>
|
||||
<code>#include <cmath></code><br>
|
||||
<code>#include <ctime></code><br>
|
||||
<code>#include <cstdio></code><br>
|
||||
<code>#include "<a class="el" href="neural_09_09__exception_8hpp-source.html">neural++_exception.hpp</a>"</code><br>
|
||||
|
||||
<p>
|
||||
|
|
@ -49,12 +47,15 @@
|
|||
<tr><td class="memItemLeft" nowrap align="right" valign="top">struct </td><td class="memItemRight" valign="bottom"><a class="el" href="structneuralpp_1_1synrecord.html">neuralpp::synrecord</a></td></tr>
|
||||
|
||||
<tr><td colspan="2"><br><h2>Defines</h2></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">#define </td><td class="memItemRight" valign="bottom"><a class="el" href="neural_09_09_8hpp.html#839a9222721835f53c5b248241f535f4">RAND</a> ( abs( sin(rand()) ) )</td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">#define </td><td class="memItemRight" valign="bottom"><a class="el" href="neural_09_09_8hpp.html#839a9222721835f53c5b248241f535f4">RAND</a> (double) ( (rand() / (RAND_MAX/2)) - 1)</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Default rand value: |sin(rand)|, always >= 0 and <= 1. <a href="#839a9222721835f53c5b248241f535f4"></a><br></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">#define </td><td class="memItemRight" valign="bottom"><a class="el" href="neural_09_09_8hpp.html#05e2bb5b9fc32f0b6b4d84fe43177d72">BETA0</a> 0.7</td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">#define </td><td class="memItemRight" valign="bottom"><a class="el" href="neural_09_09_8hpp.html#05e2bb5b9fc32f0b6b4d84fe43177d72">BETA0</a> 0.8</td></tr>
|
||||
|
||||
<tr><td class="mdescLeft"> </td><td class="mdescRight">Initial value for the inertial momentum of the synapses. <a href="#05e2bb5b9fc32f0b6b4d84fe43177d72"></a><br></td></tr>
|
||||
<tr><td colspan="2"><br><h2>Functions</h2></td></tr>
|
||||
<tr><td class="memItemLeft" nowrap align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceneuralpp.html#43c8197cc83f65fa9676386579671aec">neuralpp::df</a> (double(*f)(double), double x)</td></tr>
|
||||
|
||||
</table>
|
||||
<hr><h2>Define Documentation</h2>
|
||||
<a class="anchor" name="05e2bb5b9fc32f0b6b4d84fe43177d72"></a><!-- doxytag: member="neural++.hpp::BETA0" ref="05e2bb5b9fc32f0b6b4d84fe43177d72" args="" -->
|
||||
|
|
@ -62,7 +63,7 @@
|
|||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">#define BETA0 0.7 </td>
|
||||
<td class="memname">#define BETA0 0.8 </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
|
|
@ -79,7 +80,7 @@ Initial value for the inertial momentum of the synapses.
|
|||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">#define RAND ( abs( sin(rand()) ) ) </td>
|
||||
<td class="memname">#define RAND (double) ( (rand() / (RAND_MAX/2)) - 1) </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
|
|
@ -92,7 +93,7 @@ Default rand value: |sin(rand)|, always >= 0 and <= 1.
|
|||
</div>
|
||||
</div><p>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -43,18 +43,36 @@
|
|||
<a name="l00031"></a>00031 <span class="keyword">const</span> <span class="keywordtype">char</span>* what() <span class="keyword">const</span> throw() { <span class="keywordflow">return</span> <span class="stringliteral">"Attempt to load a neural network from an invalid network file"</span>; }
|
||||
<a name="l00032"></a>00032 };
|
||||
<a name="l00033"></a>00033
|
||||
<a name="l00038"></a>00038 <span class="keyword">class </span>InvalidXMLException : <span class="keyword">public</span> std::exception {
|
||||
<a name="l00039"></a>00039 <span class="keyword">public</span>:
|
||||
<a name="l00040"></a>00040 InvalidXMLException() {}
|
||||
<a name="l00041"></a>00041 <span class="keyword">const</span> <span class="keywordtype">char</span>* what() <span class="keyword">const</span> throw() { <span class="keywordflow">return</span> <span class="stringliteral">"Attempt to load an invalid XML file"</span>; }
|
||||
<a name="l00042"></a>00042 };
|
||||
<a name="l00043"></a>00043 }
|
||||
<a name="l00039"></a>00039 <span class="keyword">class </span>NetworkFileWriteException : <span class="keyword">public</span> std::exception {
|
||||
<a name="l00040"></a>00040 <span class="keyword">public</span>:
|
||||
<a name="l00041"></a>00041 NetworkFileWriteException() {}
|
||||
<a name="l00042"></a>00042 <span class="keyword">const</span> <span class="keywordtype">char</span>* what() <span class="keyword">const</span> throw() { <span class="keywordflow">return</span> <span class="stringliteral">"There was an error while writing the network file"</span>; }
|
||||
<a name="l00043"></a>00043 };
|
||||
<a name="l00044"></a>00044
|
||||
<a name="l00045"></a>00045 <span class="preprocessor">#endif</span>
|
||||
<a name="l00046"></a>00046 <span class="preprocessor"></span><span class="preprocessor">#endif</span>
|
||||
<a name="l00047"></a>00047 <span class="preprocessor"></span>
|
||||
<a name="l00049"></a>00049 <span class="keyword">class </span>InvalidXMLException : <span class="keyword">public</span> std::exception {
|
||||
<a name="l00050"></a>00050 <span class="keyword">public</span>:
|
||||
<a name="l00051"></a>00051 InvalidXMLException() {}
|
||||
<a name="l00052"></a>00052 <span class="keyword">const</span> <span class="keywordtype">char</span>* what() <span class="keyword">const</span> throw() { <span class="keywordflow">return</span> <span class="stringliteral">"Attempt to load an invalid XML file"</span>; }
|
||||
<a name="l00053"></a>00053 };
|
||||
<a name="l00054"></a>00054
|
||||
<a name="l00060"></a>00060 <span class="keyword">class </span>NetworkIndexOutOfBoundsException : <span class="keyword">public</span> std::exception {
|
||||
<a name="l00061"></a>00061 <span class="keyword">public</span>:
|
||||
<a name="l00062"></a>00062 NetworkIndexOutOfBoundsException() {}
|
||||
<a name="l00063"></a>00063 <span class="keyword">const</span> <span class="keywordtype">char</span>* what() <span class="keyword">const</span> throw() { <span class="keywordflow">return</span> <span class="stringliteral">"Attempt to access a non-existing neuron"</span>; }
|
||||
<a name="l00064"></a>00064 };
|
||||
<a name="l00065"></a>00065
|
||||
<a name="l00071"></a>00071 <span class="keyword">class </span>InvalidSynapticalWeightException : <span class="keyword">public</span> std::exception {
|
||||
<a name="l00072"></a>00072 <span class="keyword">public</span>:
|
||||
<a name="l00073"></a>00073 InvalidSynapticalWeightException() {}
|
||||
<a name="l00074"></a>00074 <span class="keyword">const</span> <span class="keywordtype">char</span>* what() <span class="keyword">const</span> throw() { <span class="keywordflow">return</span> <span class="stringliteral">"Attempt to set an invalid weight for the synapsis"</span>; }
|
||||
<a name="l00075"></a>00075 };
|
||||
<a name="l00076"></a>00076 }
|
||||
<a name="l00077"></a>00077
|
||||
<a name="l00078"></a>00078 <span class="preprocessor">#endif</span>
|
||||
<a name="l00079"></a>00079 <span class="preprocessor"></span><span class="preprocessor">#endif</span>
|
||||
<a name="l00080"></a>00080 <span class="preprocessor"></span>
|
||||
</pre></div></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -22,7 +22,7 @@
|
|||
<tr><td></td></tr>
|
||||
</table>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -31,7 +31,7 @@
|
|||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1ConvertEncoding.html#8ab5d602610c46eb26d0fbf8a39b2da8">strFromEncoding</a></td><td><a class="el" href="structCMarkup_1_1ConvertEncoding.html">CMarkup::ConvertEncoding</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1ConvertEncoding.html#cc2420305e7cfa6c9d18f7ce9daa4313">strToEncoding</a></td><td><a class="el" href="structCMarkup_1_1ConvertEncoding.html">CMarkup::ConvertEncoding</a></td><td></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -197,7 +197,7 @@
|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="Markup_8h-source.html">Markup.h</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -47,7 +47,7 @@
|
|||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1ElemPos.html#853d5e4a5c6b03643e7210671385896c">StartContent</a>() const </td><td><a class="el" href="structCMarkup_1_1ElemPos.html">CMarkup::ElemPos</a></td><td><code> [inline]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1ElemPos.html#987926f5677976e6288e5b4c3a224d96">StartTagLen</a>() const </td><td><a class="el" href="structCMarkup_1_1ElemPos.html">CMarkup::ElemPos</a></td><td><code> [inline]</code></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -527,7 +527,7 @@
|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="Markup_8h-source.html">Markup.h</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -33,7 +33,7 @@
|
|||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1FilePos.html#b507cbd49031186d4b3fbf7d2d009c75">strEncoding</a></td><td><a class="el" href="structCMarkup_1_1FilePos.html">CMarkup::FilePos</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1FilePos.html#62db77f82233f3244272eb973a9ecfc8">strIOResult</a></td><td><a class="el" href="structCMarkup_1_1FilePos.html">CMarkup::FilePos</a></td><td></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -195,7 +195,7 @@
|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="Markup_8h-source.html">Markup.h</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -31,7 +31,7 @@
|
|||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1NodePos.html#c1939dd0ed1d2ecb35eb35bd2e88f69c">nStart</a></td><td><a class="el" href="structCMarkup_1_1NodePos.html">CMarkup::NodePos</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1NodePos.html#b9b37d8614b6980a935157199558c261">strMeta</a></td><td><a class="el" href="structCMarkup_1_1NodePos.html">CMarkup::NodePos</a></td><td></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -176,7 +176,7 @@
|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="Markup_8h-source.html">Markup.h</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -36,7 +36,7 @@
|
|||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1NodeStack.html#4e9aad88e12b7bbabdbb3fd65fc51585">TopIndex</a>()</td><td><a class="el" href="structCMarkup_1_1NodeStack.html">CMarkup::NodeStack</a></td><td><code> [inline]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1NodeStack.html#6bd62bb0b4c4596016a00eade46cd5ca">~NodeStack</a>()</td><td><a class="el" href="structCMarkup_1_1NodeStack.html">CMarkup::NodeStack</a></td><td><code> [inline]</code></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
|
|
|||
|
|
@ -309,7 +309,7 @@
|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="Markup_8h-source.html">Markup.h</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
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|
||||
|
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|
|||
|
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@ -37,7 +37,7 @@
|
|||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1PosArray.html#0310976aa8e777cb84ab02ddbae8864c">SegsUsed</a>() const </td><td><a class="el" href="structCMarkup_1_1PosArray.html">CMarkup::PosArray</a></td><td><code> [inline]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1PosArray.html#9f26a70cee21e757fe372201c57fc117">~PosArray</a>()</td><td><a class="el" href="structCMarkup_1_1PosArray.html">CMarkup::PosArray</a></td><td><code> [inline]</code></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
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||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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||||
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||||
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|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="Markup_8h-source.html">Markup.h</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
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||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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||||
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||||
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|||
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|
|||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1SavedPos.html#28ed16429117003133c33fa8fcaa7924bc202c266163ba746501ff656c189bf3">SPM_USED</a> enum value</td><td><a class="el" href="structCMarkup_1_1SavedPos.html">CMarkup::SavedPos</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1SavedPos.html#3613f5e8854f961ed02173d22099db4c">strName</a></td><td><a class="el" href="structCMarkup_1_1SavedPos.html">CMarkup::SavedPos</a></td><td></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
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<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
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||||
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|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="Markup_8h-source.html">Markup.h</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
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||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
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||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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||||
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||||
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|||
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|
|||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1SavedPosMap.html#681e409f964bbd86a088358dffaeb808">SavedPosMap</a>(int nSize)</td><td><a class="el" href="structCMarkup_1_1SavedPosMap.html">CMarkup::SavedPosMap</a></td><td><code> [inline]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1SavedPosMap.html#b3a7ef305893ba4b6752dea003997c96">~SavedPosMap</a>()</td><td><a class="el" href="structCMarkup_1_1SavedPosMap.html">CMarkup::SavedPosMap</a></td><td><code> [inline]</code></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
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|
||||
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|||
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|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="Markup_8h-source.html">Markup.h</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
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|
|||
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|
|||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1SavedPosMapArray.html#0fca988b3417d41ccf3e2b3e8fef7483">SavedPosMapArray</a>()</td><td><a class="el" href="structCMarkup_1_1SavedPosMapArray.html">CMarkup::SavedPosMapArray</a></td><td><code> [inline]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1SavedPosMapArray.html#6be57f9ebe160aebb464957caa30ddd6">~SavedPosMapArray</a>()</td><td><a class="el" href="structCMarkup_1_1SavedPosMapArray.html">CMarkup::SavedPosMapArray</a></td><td><code> [inline]</code></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
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|
||||
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|||
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@ -129,7 +129,7 @@
|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="Markup_8h-source.html">Markup.h</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
|
||||
|
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|
|||
|
|
@ -36,7 +36,7 @@
|
|||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1TokenPos.html#c3a37f7294cd763aed0f37749095d3db">StrNIACmp</a>(MCD_PCSZ p1, MCD_PCSZ p2, int n)</td><td><a class="el" href="structCMarkup_1_1TokenPos.html">CMarkup::TokenPos</a></td><td><code> [inline]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structCMarkup_1_1TokenPos.html#797a3f5d9664c52971cf210166c3636a">TokenPos</a>(MCD_CSTR sz, int n)</td><td><a class="el" href="structCMarkup_1_1TokenPos.html">CMarkup::TokenPos</a></td><td><code> [inline]</code></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
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|
||||
|
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|||
|
|
@ -314,7 +314,7 @@
|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="Markup_8h-source.html">Markup.h</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
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|
||||
|
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|||
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|
|||
<tr class="memlist"><td><a class="el" href="structMCD__CSTR.html#69c3b0c4b7d049b0eaadcc5822f647ac">operator MCD_PCSZ</a>() const </td><td><a class="el" href="structMCD__CSTR.html">MCD_CSTR</a></td><td><code> [inline]</code></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structMCD__CSTR.html#98868bd66f13bc4be31eab000d45335e">pcsz</a></td><td><a class="el" href="structMCD__CSTR.html">MCD_CSTR</a></td><td></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
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|
||||
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@ -148,7 +148,7 @@
|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="Markup_8h-source.html">Markup.h</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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||||
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|
||||
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|
|||
<tr class="memlist"><td><a class="el" href="structneuralpp_1_1netrecord.html#a4f793a39a40144e811fef4d3d2d2b30">l_rate</a></td><td><a class="el" href="structneuralpp_1_1netrecord.html">neuralpp::netrecord</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structneuralpp_1_1netrecord.html#95f2b0651dd3a0e5e7201ff354e401b4">output_size</a></td><td><a class="el" href="structneuralpp_1_1netrecord.html">neuralpp::netrecord</a></td><td></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
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|
||||
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|||
|
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@ -138,7 +138,7 @@
|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="neural_09_09_8hpp-source.html">neural++.hpp</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
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||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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||||
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||||
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|
|||
<tr class="memlist"><td><a class="el" href="structneuralpp_1_1neuronrecord.html#15201b190584987255d81d4b7e773375">actv</a></td><td><a class="el" href="structneuralpp_1_1neuronrecord.html">neuralpp::neuronrecord</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structneuralpp_1_1neuronrecord.html#30b298a95939b88b565fefc2dc57e89d">prop</a></td><td><a class="el" href="structneuralpp_1_1neuronrecord.html">neuralpp::neuronrecord</a></td><td></td></tr>
|
||||
</table></div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
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<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
</body>
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||||
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|||
|
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|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="neural_09_09_8hpp-source.html">neural++.hpp</a></ul>
|
||||
</div>
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
|
||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
|
||||
<a href="http://www.doxygen.org/index.html">
|
||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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||||
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||||
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|||
<tr class="memlist"><td><a class="el" href="structneuralpp_1_1synrecord.html#3a862082dfa0edffce84936818bab374">d</a></td><td><a class="el" href="structneuralpp_1_1synrecord.html">neuralpp::synrecord</a></td><td></td></tr>
|
||||
<tr class="memlist"><td><a class="el" href="structneuralpp_1_1synrecord.html#81a7dbc97eecbf5bc85cac46373a78d2">w</a></td><td><a class="el" href="structneuralpp_1_1synrecord.html">neuralpp::synrecord</a></td><td></td></tr>
|
||||
</table></div>
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||||
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
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<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by
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||||
<a href="http://www.doxygen.org/index.html">
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||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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||||
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||||
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|
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|
|||
<hr>The documentation for this struct was generated from the following file:<ul>
|
||||
<li><a class="el" href="neural_09_09_8hpp-source.html">neural++.hpp</a></ul>
|
||||
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<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 9 11:11:18 2009 for Neural++ by
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|
||||
<a href="http://www.doxygen.org/index.html">
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||||
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
|
||||
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||||
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|
|||
|
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@ -8,11 +8,11 @@ Class for managing layers of neurons.
|
|||
\subsection*{Public Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
{\bf Layer} (size\_\-t sz, double($\ast$a)(double), double($\ast$d)(double))
|
||||
{\bf Layer} (size\_\-t sz, double($\ast$a)(double))
|
||||
\begin{CompactList}\small\item\em Constructor. \item\end{CompactList}\item
|
||||
{\bf Layer} (vector$<$ {\bf Neuron} $>$ \&neurons, double($\ast$a)(double), double($\ast$d)(double))
|
||||
{\bf Layer} (vector$<$ {\bf Neuron} $>$ \&neurons, double($\ast$a)(double))
|
||||
\begin{CompactList}\small\item\em Alternative constructor. \item\end{CompactList}\item
|
||||
{\bf Neuron} \& {\bf operator[$\,$]} (size\_\-t i)
|
||||
{\bf Neuron} \& {\bf operator[$\,$]} (size\_\-t i) throw (NetworkIndexOutOfBoundsException)
|
||||
\begin{CompactList}\small\item\em Redefinition for operator []. \item\end{CompactList}\item
|
||||
void {\bf link} ({\bf Layer} \&l)
|
||||
\begin{CompactList}\small\item\em It links a layer to another. \item\end{CompactList}\item
|
||||
|
|
@ -22,7 +22,7 @@ void {\bf setActv} (vector$<$ double $>$ \&v)
|
|||
\begin{CompactList}\small\item\em It sets a vector of activation values to all its neurons. \item\end{CompactList}\item
|
||||
void {\bf propagate} ()
|
||||
\begin{CompactList}\small\item\em It propagates its activation values to the output layers. \item\end{CompactList}\item
|
||||
size\_\-t {\bf size} ()
|
||||
size\_\-t {\bf size} () const
|
||||
\end{CompactItemize}
|
||||
\subsection*{Private Attributes}
|
||||
\begin{CompactItemize}
|
||||
|
|
@ -32,8 +32,6 @@ vector$<$ {\bf Neuron} $>$ {\bf elements}
|
|||
void($\ast$ {\bf update\_\-weights} )()
|
||||
\item
|
||||
double($\ast$ {\bf actv\_\-f} )(double)
|
||||
\item
|
||||
double($\ast$ {\bf deriv} )(double)
|
||||
\end{CompactItemize}
|
||||
|
||||
|
||||
|
|
@ -45,7 +43,7 @@ Don't use this class directly unless you know what you're doing, use \doxyref{Ne
|
|||
\subsection{Constructor \& Destructor Documentation}
|
||||
\index{neuralpp::Layer@{neuralpp::Layer}!Layer@{Layer}}
|
||||
\index{Layer@{Layer}!neuralpp::Layer@{neuralpp::Layer}}
|
||||
\subsubsection[Layer]{\setlength{\rightskip}{0pt plus 5cm}neuralpp::Layer::Layer (size\_\-t {\em sz}, \/ double($\ast$)(double) {\em a}, \/ double($\ast$)(double) {\em d})}\label{classneuralpp_1_1Layer_411a4dc8a1bb2fe44fe7a69fa50fd764}
|
||||
\subsubsection[Layer]{\setlength{\rightskip}{0pt plus 5cm}neuralpp::Layer::Layer (size\_\-t {\em sz}, \/ double($\ast$)(double) {\em a})}\label{classneuralpp_1_1Layer_fb08bddd85d36570dabfe915461f07c5}
|
||||
|
||||
|
||||
Constructor.
|
||||
|
|
@ -53,11 +51,11 @@ Constructor.
|
|||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em sz}]Size of the layer \item[{\em a}]Activation function \item[{\em d}]Its derivate \end{description}
|
||||
\item[{\em sz}]Size of the layer \item[{\em a}]Activation function \end{description}
|
||||
\end{Desc}
|
||||
\index{neuralpp::Layer@{neuralpp::Layer}!Layer@{Layer}}
|
||||
\index{Layer@{Layer}!neuralpp::Layer@{neuralpp::Layer}}
|
||||
\subsubsection[Layer]{\setlength{\rightskip}{0pt plus 5cm}neuralpp::Layer::Layer (vector$<$ {\bf Neuron} $>$ \& {\em neurons}, \/ double($\ast$)(double) {\em a}, \/ double($\ast$)(double) {\em d})}\label{classneuralpp_1_1Layer_117d1c3b481641816e80ea36826d2107}
|
||||
\subsubsection[Layer]{\setlength{\rightskip}{0pt plus 5cm}neuralpp::Layer::Layer (vector$<$ {\bf Neuron} $>$ \& {\em neurons}, \/ double($\ast$)(double) {\em a})}\label{classneuralpp_1_1Layer_609ed16b8d79dc384b01ba7d16b72bd1}
|
||||
|
||||
|
||||
Alternative constructor.
|
||||
|
|
@ -65,14 +63,14 @@ Alternative constructor.
|
|||
It directly gets a vector of neurons to build the layer \begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em neurons}]Vector of neurons to be included in the layer \item[{\em a}]Activation function \item[{\em d}]Its derivate \end{description}
|
||||
\item[{\em neurons}]Vector of neurons to be included in the layer \item[{\em a}]Activation function \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
\subsection{Member Function Documentation}
|
||||
\index{neuralpp::Layer@{neuralpp::Layer}!operator[]@{operator[]}}
|
||||
\index{operator[]@{operator[]}!neuralpp::Layer@{neuralpp::Layer}}
|
||||
\subsubsection[operator[]]{\setlength{\rightskip}{0pt plus 5cm}{\bf Neuron}\& neuralpp::Layer::operator[$\,$] (size\_\-t {\em i})}\label{classneuralpp_1_1Layer_45ff7554830558155c6fbce3b6827122}
|
||||
\subsubsection[operator[]]{\setlength{\rightskip}{0pt plus 5cm}{\bf Neuron}\& neuralpp::Layer::operator[$\,$] (size\_\-t {\em i}) throw (NetworkIndexOutOfBoundsException)}\label{classneuralpp_1_1Layer_45ff7554830558155c6fbce3b6827122}
|
||||
|
||||
|
||||
Redefinition for operator [].
|
||||
|
|
@ -129,7 +127,7 @@ It propagates its activation values to the output layers.
|
|||
|
||||
\index{neuralpp::Layer@{neuralpp::Layer}!size@{size}}
|
||||
\index{size@{size}!neuralpp::Layer@{neuralpp::Layer}}
|
||||
\subsubsection[size]{\setlength{\rightskip}{0pt plus 5cm}size\_\-t neuralpp::Layer::size ()}\label{classneuralpp_1_1Layer_c8d2f7513e5d40518f9dddfd1e3ddcc5}
|
||||
\subsubsection[size]{\setlength{\rightskip}{0pt plus 5cm}size\_\-t neuralpp::Layer::size () const}\label{classneuralpp_1_1Layer_7ca71ed62fbe9c1e9c0fb6a8dcaf76f0}
|
||||
|
||||
|
||||
\begin{Desc}
|
||||
|
|
@ -152,11 +150,6 @@ It propagates its activation values to the output layers.
|
|||
\subsubsection[actv\_\-f]{\setlength{\rightskip}{0pt plus 5cm}double($\ast$ {\bf neuralpp::Layer::actv\_\-f})(double)\hspace{0.3cm}{\tt [private]}}\label{classneuralpp_1_1Layer_824367da29f92253a027a7c5b4a4405e}
|
||||
|
||||
|
||||
\index{neuralpp::Layer@{neuralpp::Layer}!deriv@{deriv}}
|
||||
\index{deriv@{deriv}!neuralpp::Layer@{neuralpp::Layer}}
|
||||
\subsubsection[deriv]{\setlength{\rightskip}{0pt plus 5cm}double($\ast$ {\bf neuralpp::Layer::deriv})(double)\hspace{0.3cm}{\tt [private]}}\label{classneuralpp_1_1Layer_a0207b14ba80aaf03502749ecb7d23fa}
|
||||
|
||||
|
||||
|
||||
|
||||
The documentation for this class was generated from the following file:\begin{CompactItemize}
|
||||
|
|
|
|||
|
|
@ -19,15 +19,15 @@ enum {\bf source} \{ {\bf file},
|
|||
\begin{CompactList}\small\item\em Empty constructor for the class - it just makes nothing. \item\end{CompactList}\item
|
||||
{\bf NeuralNet} (size\_\-t in\_\-size, size\_\-t hidden\_\-size, size\_\-t out\_\-size, double l, int e)
|
||||
\begin{CompactList}\small\item\em Constructor. \item\end{CompactList}\item
|
||||
{\bf NeuralNet} (const char $\ast$file) throw (NetworkFileNotFoundException)
|
||||
{\bf NeuralNet} (const string file) throw (NetworkFileNotFoundException)
|
||||
\begin{CompactList}\small\item\em Constructor. \item\end{CompactList}\item
|
||||
{\bf NeuralNet} (size\_\-t in\_\-size, size\_\-t hidden\_\-size, size\_\-t out\_\-size, double($\ast$actv)(double), double($\ast${\bf deriv})(double), double l, int e)
|
||||
{\bf NeuralNet} (size\_\-t in\_\-size, size\_\-t hidden\_\-size, size\_\-t out\_\-size, double($\ast$actv)(double), double l, int e)
|
||||
\begin{CompactList}\small\item\em Constructor. \item\end{CompactList}\item
|
||||
double {\bf getOutput} ()
|
||||
double {\bf getOutput} () const
|
||||
\begin{CompactList}\small\item\em It gets the output of the network (note: the layer output should contain an only neuron). \item\end{CompactList}\item
|
||||
vector$<$ double $>$ {\bf getOutputs} ()
|
||||
\begin{CompactList}\small\item\em It gets the output of the network in case the output layer contains more neurons. \item\end{CompactList}\item
|
||||
double {\bf expected} ()
|
||||
double {\bf expected} () const
|
||||
\begin{CompactList}\small\item\em It gets the value expected. \item\end{CompactList}\item
|
||||
void {\bf setExpected} (double {\bf ex})
|
||||
\begin{CompactList}\small\item\em It sets the value you expect from your network. \item\end{CompactList}\item
|
||||
|
|
@ -39,9 +39,9 @@ void {\bf setInput} (vector$<$ double $>$ \&v)
|
|||
\begin{CompactList}\small\item\em It sets the input for the network. \item\end{CompactList}\item
|
||||
void {\bf link} ()
|
||||
\begin{CompactList}\small\item\em It links the layers of the network (input, hidden, output). \item\end{CompactList}\item
|
||||
bool {\bf save} (const char $\ast$fname)
|
||||
void {\bf save} (const char $\ast$fname) throw (NetworkFileWriteException)
|
||||
\begin{CompactList}\small\item\em Save a trained neural network to a binary file. \item\end{CompactList}\item
|
||||
void {\bf train} (string xml, {\bf source} xrc) throw (InvalidXMLException)
|
||||
void {\bf train} (string xml, {\bf source} src) throw (InvalidXMLException)
|
||||
\begin{CompactList}\small\item\em Train a network using a training set loaded from an XML file. \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Static Public Member Functions}
|
||||
\begin{CompactItemize}
|
||||
|
|
@ -54,6 +54,15 @@ static string {\bf XMLFromSet} (int id, string set)
|
|||
\begin{CompactList}\small\item\em Get a training set from a string and copies it to an XML For example, these strings could be training sets for making sums: \char`\"{}2,3;5\char`\"{} - \char`\"{}5,6;11\char`\"{} - \char`\"{}2,2;4\char`\"{} - \char`\"{}4,5:9\char`\"{} This method called on the first string will return an XML such this: '$<$training id=\char`\"{}0\char`\"{}$>$$<$input id=\char`\"{}0\char`\"{}$>$2$<$/input$>$$<$input id=\char`\"{}1\char`\"{}$>$3$<$/input$>$$<$output id=\char`\"{}0\char`\"{}$>$5$<$/output$>$ \</training$>$'. \item\end{CompactList}\item
|
||||
static void {\bf closeXML} (string \&xml)
|
||||
\begin{CompactList}\small\item\em Closes an open XML document generated by \char`\"{}initXML\char`\"{} and \char`\"{}XMLFromSet\char`\"{}. \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Public Attributes}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
{\bf Layer} $\ast$ {\bf input}
|
||||
\item
|
||||
{\bf Layer} $\ast$ {\bf hidden}
|
||||
\item
|
||||
{\bf Layer} $\ast$ {\bf output}
|
||||
\end{CompactItemize}
|
||||
\subsection*{Private Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
|
|
@ -61,8 +70,8 @@ void {\bf updateWeights} ()
|
|||
\begin{CompactList}\small\item\em It updates the weights of the net's synapsis through back-propagation. \item\end{CompactList}\item
|
||||
void {\bf commitChanges} ({\bf Layer} $\ast$l)
|
||||
\begin{CompactList}\small\item\em It commits the changes made by \doxyref{updateWeights()}{p.}{classneuralpp_1_1NeuralNet_94169c89a7cd47122ab5dbf1d5c5e108} to the layer l. \item\end{CompactList}\item
|
||||
double {\bf error} (double {\bf ex})
|
||||
\begin{CompactList}\small\item\em It get the error made on the expected result as $|$v-v'$|$/v. \item\end{CompactList}\end{CompactItemize}
|
||||
double {\bf error} (double {\bf ex}) const
|
||||
\begin{CompactList}\small\item\em Get the error made on the expected result as $|$v-v'$|$/v. \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Private Attributes}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
|
|
@ -74,16 +83,8 @@ double {\bf l\_\-rate}
|
|||
\item
|
||||
double {\bf ex}
|
||||
\item
|
||||
{\bf Layer} $\ast$ {\bf input}
|
||||
\item
|
||||
{\bf Layer} $\ast$ {\bf hidden}
|
||||
\item
|
||||
{\bf Layer} $\ast$ {\bf output}
|
||||
\item
|
||||
double($\ast$ {\bf actv\_\-f} )(double)
|
||||
\begin{CompactList}\small\item\em Private pointer to function, containing the function to be used as activation function. \item\end{CompactList}\item
|
||||
double($\ast$ {\bf deriv} )(double)
|
||||
\begin{CompactList}\small\item\em Private pointer to function, containing the function to be used as derivate of the activation function. \item\end{CompactList}\end{CompactItemize}
|
||||
\begin{CompactList}\small\item\em Private pointer to function, containing the function to be used as activation function. \item\end{CompactList}\end{CompactItemize}
|
||||
|
||||
|
||||
\subsection{Detailed Description}
|
||||
|
|
@ -133,7 +134,7 @@ Constructor.
|
|||
\end{Desc}
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!NeuralNet@{NeuralNet}}
|
||||
\index{NeuralNet@{NeuralNet}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[NeuralNet]{\setlength{\rightskip}{0pt plus 5cm}neuralpp::NeuralNet::NeuralNet (const char $\ast$ {\em file}) throw (NetworkFileNotFoundException)}\label{classneuralpp_1_1NeuralNet_88380cb002edcccf11b59f6d3f6c94c9}
|
||||
\subsubsection[NeuralNet]{\setlength{\rightskip}{0pt plus 5cm}neuralpp::NeuralNet::NeuralNet (const string {\em file}) throw (NetworkFileNotFoundException)}\label{classneuralpp_1_1NeuralNet_7fc7fc3e3220c138ffa5356fef6b9757}
|
||||
|
||||
|
||||
Constructor.
|
||||
|
|
@ -141,7 +142,7 @@ Constructor.
|
|||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em file}]Binary file containing a neural network previously saved by \doxyref{save()}{p.}{classneuralpp_1_1NeuralNet_5db8d6ba4785f732da6e642b4f8f11a0} method \end{description}
|
||||
\item[{\em file}]Binary file containing a neural network previously saved by \doxyref{save()}{p.}{classneuralpp_1_1NeuralNet_fdf94c276720c25e565cac834fe8a407} method \end{description}
|
||||
\end{Desc}
|
||||
\begin{Desc}
|
||||
\item[Exceptions:]
|
||||
|
|
@ -150,7 +151,7 @@ Constructor.
|
|||
\end{Desc}
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!NeuralNet@{NeuralNet}}
|
||||
\index{NeuralNet@{NeuralNet}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[NeuralNet]{\setlength{\rightskip}{0pt plus 5cm}neuralpp::NeuralNet::NeuralNet (size\_\-t {\em in\_\-size}, \/ size\_\-t {\em hidden\_\-size}, \/ size\_\-t {\em out\_\-size}, \/ double($\ast$)(double) {\em actv}, \/ double($\ast$)(double) {\em deriv}, \/ double {\em l}, \/ int {\em e})}\label{classneuralpp_1_1NeuralNet_b4b261f7f7fa93c45855288fd66cfdca}
|
||||
\subsubsection[NeuralNet]{\setlength{\rightskip}{0pt plus 5cm}neuralpp::NeuralNet::NeuralNet (size\_\-t {\em in\_\-size}, \/ size\_\-t {\em hidden\_\-size}, \/ size\_\-t {\em out\_\-size}, \/ double($\ast$)(double) {\em actv}, \/ double {\em l}, \/ int {\em e})}\label{classneuralpp_1_1NeuralNet_0c16df2e0701503052c63749930b238e}
|
||||
|
||||
|
||||
Constructor.
|
||||
|
|
@ -158,7 +159,7 @@ Constructor.
|
|||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em in\_\-size}]Size of the input layer \item[{\em hidden\_\-size}]Size of the hidden layer \item[{\em out\_\-size}]Size of the output layer \item[{\em actv}]Activation function to use (default: f(x)=x) \item[{\em deriv}]Derivate for the activation function to use (default: f'(x)=1) \item[{\em l}]learn rate (get it after doing some experiments, but generally try to keep its value quite low to be more accurate) \item[{\em e}]Epochs (cycles) to execute (the most you execute, the most the network can be accurate for its purpose) \end{description}
|
||||
\item[{\em in\_\-size}]Size of the input layer \item[{\em hidden\_\-size}]Size of the hidden layer \item[{\em out\_\-size}]Size of the output layer \item[{\em actv}]Activation function to use (default: f(x)=x) \item[{\em l}]learn rate (get it after doing some experiments, but generally try to keep its value quite low to be more accurate) \item[{\em e}]Epochs (cycles) to execute (the most you execute, the most the network can be accurate for its purpose) \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
|
|
@ -184,10 +185,10 @@ In-class use only \begin{Desc}
|
|||
\end{Desc}
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!error@{error}}
|
||||
\index{error@{error}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[error]{\setlength{\rightskip}{0pt plus 5cm}double neuralpp::NeuralNet::error (double {\em ex})\hspace{0.3cm}{\tt [private]}}\label{classneuralpp_1_1NeuralNet_8a140d28e6dd4097470c7c138801ad01}
|
||||
\subsubsection[error]{\setlength{\rightskip}{0pt plus 5cm}double neuralpp::NeuralNet::error (double {\em ex}) const\hspace{0.3cm}{\tt [private]}}\label{classneuralpp_1_1NeuralNet_0616c51404efaca2714e37dd7478997e}
|
||||
|
||||
|
||||
It get the error made on the expected result as $|$v-v'$|$/v.
|
||||
Get the error made on the expected result as $|$v-v'$|$/v.
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
|
|
@ -198,7 +199,7 @@ It get the error made on the expected result as $|$v-v'$|$/v.
|
|||
\item[Returns:]Mean error \end{Desc}
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!getOutput@{getOutput}}
|
||||
\index{getOutput@{getOutput}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[getOutput]{\setlength{\rightskip}{0pt plus 5cm}double neuralpp::NeuralNet::getOutput ()}\label{classneuralpp_1_1NeuralNet_7de7ee318eeb791d21a01e9e9e0e8c5a}
|
||||
\subsubsection[getOutput]{\setlength{\rightskip}{0pt plus 5cm}double neuralpp::NeuralNet::getOutput () const}\label{classneuralpp_1_1NeuralNet_961dce8913264bf64c899dce4e25f810}
|
||||
|
||||
|
||||
It gets the output of the network (note: the layer output should contain an only neuron).
|
||||
|
|
@ -216,7 +217,7 @@ It gets the output of the network in case the output layer contains more neurons
|
|||
\item[Returns:]A vector containing the output values of the network \end{Desc}
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!expected@{expected}}
|
||||
\index{expected@{expected}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[expected]{\setlength{\rightskip}{0pt plus 5cm}double neuralpp::NeuralNet::expected ()}\label{classneuralpp_1_1NeuralNet_423fd38a61d79905dcc12da84c805114}
|
||||
\subsubsection[expected]{\setlength{\rightskip}{0pt plus 5cm}double neuralpp::NeuralNet::expected () const}\label{classneuralpp_1_1NeuralNet_562dfe9fb8d73bf25a23ce608451d3aa}
|
||||
|
||||
|
||||
It gets the value expected.
|
||||
|
|
@ -270,7 +271,7 @@ It links the layers of the network (input, hidden, output).
|
|||
|
||||
Don't use unless you exactly know what you're doing, it is already called by the constructor \index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!save@{save}}
|
||||
\index{save@{save}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[save]{\setlength{\rightskip}{0pt plus 5cm}bool neuralpp::NeuralNet::save (const char $\ast$ {\em fname})}\label{classneuralpp_1_1NeuralNet_5db8d6ba4785f732da6e642b4f8f11a0}
|
||||
\subsubsection[save]{\setlength{\rightskip}{0pt plus 5cm}void neuralpp::NeuralNet::save (const char $\ast$ {\em fname}) throw (NetworkFileWriteException)}\label{classneuralpp_1_1NeuralNet_fdf94c276720c25e565cac834fe8a407}
|
||||
|
||||
|
||||
Save a trained neural network to a binary file.
|
||||
|
|
@ -280,9 +281,14 @@ Save a trained neural network to a binary file.
|
|||
\begin{description}
|
||||
\item[{\em fname}]Binary file where you're going to save your network \end{description}
|
||||
\end{Desc}
|
||||
\begin{Desc}
|
||||
\item[Exceptions:]
|
||||
\begin{description}
|
||||
\item[{\em NetworkFileWriteException}]When you get an error writing the network's information to a file \end{description}
|
||||
\end{Desc}
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!train@{train}}
|
||||
\index{train@{train}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[train]{\setlength{\rightskip}{0pt plus 5cm}void neuralpp::NeuralNet::train (string {\em xml}, \/ {\bf source} {\em xrc}) throw (InvalidXMLException)}\label{classneuralpp_1_1NeuralNet_e8b8741d28bec1354db555eabe418cb6}
|
||||
\subsubsection[train]{\setlength{\rightskip}{0pt plus 5cm}void neuralpp::NeuralNet::train (string {\em xml}, \/ {\bf source} {\em src}) throw (InvalidXMLException)}\label{classneuralpp_1_1NeuralNet_ead4bdef0602a5cadbe3beb685e01f5f}
|
||||
|
||||
|
||||
Train a network using a training set loaded from an XML file.
|
||||
|
|
@ -372,21 +378,6 @@ Closes an open XML document generated by \char`\"{}initXML\char`\"{} and \char`\
|
|||
\subsubsection[ex]{\setlength{\rightskip}{0pt plus 5cm}double {\bf neuralpp::NeuralNet::ex}\hspace{0.3cm}{\tt [private]}}\label{classneuralpp_1_1NeuralNet_261f5f68fcc5be54250cfa03945266dd}
|
||||
|
||||
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!input@{input}}
|
||||
\index{input@{input}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[input]{\setlength{\rightskip}{0pt plus 5cm}{\bf Layer}$\ast$ {\bf neuralpp::NeuralNet::input}\hspace{0.3cm}{\tt [private]}}\label{classneuralpp_1_1NeuralNet_e2b4e8405f9d25edab395d61502bdba9}
|
||||
|
||||
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!hidden@{hidden}}
|
||||
\index{hidden@{hidden}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[hidden]{\setlength{\rightskip}{0pt plus 5cm}{\bf Layer}$\ast$ {\bf neuralpp::NeuralNet::hidden}\hspace{0.3cm}{\tt [private]}}\label{classneuralpp_1_1NeuralNet_bbdaa1b6c0a1a95d2b18cd25fda2a266}
|
||||
|
||||
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!output@{output}}
|
||||
\index{output@{output}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[output]{\setlength{\rightskip}{0pt plus 5cm}{\bf Layer}$\ast$ {\bf neuralpp::NeuralNet::output}\hspace{0.3cm}{\tt [private]}}\label{classneuralpp_1_1NeuralNet_fa9b2dbcbb39d0fc70f790ac24069a74}
|
||||
|
||||
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!actv\_\-f@{actv\_\-f}}
|
||||
\index{actv\_\-f@{actv\_\-f}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[actv\_\-f]{\setlength{\rightskip}{0pt plus 5cm}double($\ast$ {\bf neuralpp::NeuralNet::actv\_\-f})(double)\hspace{0.3cm}{\tt [private]}}\label{classneuralpp_1_1NeuralNet_c1469e6afd87d85b82f14bc246f82457}
|
||||
|
|
@ -394,12 +385,20 @@ Closes an open XML document generated by \char`\"{}initXML\char`\"{} and \char`\
|
|||
|
||||
Private pointer to function, containing the function to be used as activation function.
|
||||
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!deriv@{deriv}}
|
||||
\index{deriv@{deriv}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[deriv]{\setlength{\rightskip}{0pt plus 5cm}double($\ast$ {\bf neuralpp::NeuralNet::deriv})(double)\hspace{0.3cm}{\tt [private]}}\label{classneuralpp_1_1NeuralNet_df44689f4e6201ca1ddc67655cce3576}
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!input@{input}}
|
||||
\index{input@{input}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[input]{\setlength{\rightskip}{0pt plus 5cm}{\bf Layer}$\ast$ {\bf neuralpp::NeuralNet::input}}\label{classneuralpp_1_1NeuralNet_e2b4e8405f9d25edab395d61502bdba9}
|
||||
|
||||
|
||||
Private pointer to function, containing the function to be used as derivate of the activation function.
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!hidden@{hidden}}
|
||||
\index{hidden@{hidden}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[hidden]{\setlength{\rightskip}{0pt plus 5cm}{\bf Layer}$\ast$ {\bf neuralpp::NeuralNet::hidden}}\label{classneuralpp_1_1NeuralNet_bbdaa1b6c0a1a95d2b18cd25fda2a266}
|
||||
|
||||
|
||||
\index{neuralpp::NeuralNet@{neuralpp::NeuralNet}!output@{output}}
|
||||
\index{output@{output}!neuralpp::NeuralNet@{neuralpp::NeuralNet}}
|
||||
\subsubsection[output]{\setlength{\rightskip}{0pt plus 5cm}{\bf Layer}$\ast$ {\bf neuralpp::NeuralNet::output}}\label{classneuralpp_1_1NeuralNet_fa9b2dbcbb39d0fc70f790ac24069a74}
|
||||
|
||||
|
||||
|
||||
|
||||
|
|
|
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|
|
@ -8,9 +8,9 @@ Class for managing neurons.
|
|||
\subsection*{Public Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
{\bf Neuron} (double($\ast$a)(double), double($\ast$d)(double))
|
||||
{\bf Neuron} (double($\ast$a)(double))
|
||||
\begin{CompactList}\small\item\em Constructor. \item\end{CompactList}\item
|
||||
{\bf Neuron} (vector$<$ {\bf Synapsis} $>$ {\bf in}, vector$<$ {\bf Synapsis} $>$ {\bf out}, double($\ast$a)(double), double($\ast$d)(double))
|
||||
{\bf Neuron} (vector$<$ {\bf Synapsis} $>$ {\bf in}, vector$<$ {\bf Synapsis} $>$ {\bf out}, double($\ast$a)(double))
|
||||
\begin{CompactList}\small\item\em Alternative constructor, that gets also the synapsis linked to the neuron. \item\end{CompactList}\item
|
||||
{\bf Synapsis} \& {\bf synIn} (size\_\-t i)
|
||||
\begin{CompactList}\small\item\em Get the i-th synapsis connected on the input of the neuron. \item\end{CompactList}\item
|
||||
|
|
@ -48,8 +48,6 @@ vector$<$ {\bf Synapsis} $>$ {\bf in}
|
|||
vector$<$ {\bf Synapsis} $>$ {\bf out}
|
||||
\item
|
||||
double($\ast$ {\bf actv\_\-f} )(double)
|
||||
\item
|
||||
double($\ast$ {\bf deriv} )(double)
|
||||
\end{CompactItemize}
|
||||
|
||||
|
||||
|
|
@ -61,7 +59,7 @@ Don't use this class directly unless you know what you're doing, use \doxyref{Ne
|
|||
\subsection{Constructor \& Destructor Documentation}
|
||||
\index{neuralpp::Neuron@{neuralpp::Neuron}!Neuron@{Neuron}}
|
||||
\index{Neuron@{Neuron}!neuralpp::Neuron@{neuralpp::Neuron}}
|
||||
\subsubsection[Neuron]{\setlength{\rightskip}{0pt plus 5cm}neuralpp::Neuron::Neuron (double($\ast$)(double) {\em a}, \/ double($\ast$)(double) {\em d})}\label{classneuralpp_1_1Neuron_c877424a295478e3464046ea43c2a7ad}
|
||||
\subsubsection[Neuron]{\setlength{\rightskip}{0pt plus 5cm}neuralpp::Neuron::Neuron (double($\ast$)(double) {\em a})}\label{classneuralpp_1_1Neuron_9863a08b73bc97c8b514aca6c580ff7b}
|
||||
|
||||
|
||||
Constructor.
|
||||
|
|
@ -69,11 +67,11 @@ Constructor.
|
|||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em a}]Activation function \item[{\em d}]Its derivate \end{description}
|
||||
\item[{\em a}]Activation function \end{description}
|
||||
\end{Desc}
|
||||
\index{neuralpp::Neuron@{neuralpp::Neuron}!Neuron@{Neuron}}
|
||||
\index{Neuron@{Neuron}!neuralpp::Neuron@{neuralpp::Neuron}}
|
||||
\subsubsection[Neuron]{\setlength{\rightskip}{0pt plus 5cm}neuralpp::Neuron::Neuron (vector$<$ {\bf Synapsis} $>$ {\em in}, \/ vector$<$ {\bf Synapsis} $>$ {\em out}, \/ double($\ast$)(double) {\em a}, \/ double($\ast$)(double) {\em d})}\label{classneuralpp_1_1Neuron_e25546d4f7126f106c2f3b2d8ed2c792}
|
||||
\subsubsection[Neuron]{\setlength{\rightskip}{0pt plus 5cm}neuralpp::Neuron::Neuron (vector$<$ {\bf Synapsis} $>$ {\em in}, \/ vector$<$ {\bf Synapsis} $>$ {\em out}, \/ double($\ast$)(double) {\em a})}\label{classneuralpp_1_1Neuron_f1bf19ec93174f60b368ee4a91b03f46}
|
||||
|
||||
|
||||
Alternative constructor, that gets also the synapsis linked to the neuron.
|
||||
|
|
@ -81,7 +79,7 @@ Alternative constructor, that gets also the synapsis linked to the neuron.
|
|||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em in}]Input synapses \item[{\em out}]Output synapses \item[{\em a}]Activation function \item[{\em d}]Derivate of the activation function \end{description}
|
||||
\item[{\em in}]Input synapses \item[{\em out}]Output synapses \item[{\em a}]Activation function \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
|
|
@ -240,11 +238,6 @@ Remove input and output synapsis from a neuron.
|
|||
\subsubsection[actv\_\-f]{\setlength{\rightskip}{0pt plus 5cm}double($\ast$ {\bf neuralpp::Neuron::actv\_\-f})(double)\hspace{0.3cm}{\tt [private]}}\label{classneuralpp_1_1Neuron_198ddd0d11a26d0052d52b787d6a0df0}
|
||||
|
||||
|
||||
\index{neuralpp::Neuron@{neuralpp::Neuron}!deriv@{deriv}}
|
||||
\index{deriv@{deriv}!neuralpp::Neuron@{neuralpp::Neuron}}
|
||||
\subsubsection[deriv]{\setlength{\rightskip}{0pt plus 5cm}double($\ast$ {\bf neuralpp::Neuron::deriv})(double)\hspace{0.3cm}{\tt [private]}}\label{classneuralpp_1_1Neuron_8b881889e40e9782c49b0efad2b1dde3}
|
||||
|
||||
|
||||
|
||||
|
||||
The documentation for this class was generated from the following file:\begin{CompactItemize}
|
||||
|
|
|
|||
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