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Hey I can't believe it, I fixed it...

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blacklight 2009-08-15 02:59:09 +02:00
parent 37995f75c2
commit b62dfe3967
113 changed files with 673 additions and 776 deletions

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doc/html/classneuralpp_1_1Layer.html
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@ -34,13 +34,13 @@
<a href="classneuralpp_1_1Layer-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">&nbsp;</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>
<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</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>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Constructor. <a href="#411a4dc8a1bb2fe44fe7a69fa50fd764"></a><br></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#117d1c3b481641816e80ea36826d2107">Layer</a> (vector&lt; <a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> &gt; &amp;neurons, double(*a)(double), double(*d)(double))</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Constructor. <a href="#fb08bddd85d36570dabfe915461f07c5"></a><br></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#609ed16b8d79dc384b01ba7d16b72bd1">Layer</a> (vector&lt; <a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> &gt; &amp;neurons, double(*a)(double))</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Alternative constructor. <a href="#117d1c3b481641816e80ea36826d2107"></a><br></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#45ff7554830558155c6fbce3b6827122">operator[]</a> (size_t i)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Alternative constructor. <a href="#609ed16b8d79dc384b01ba7d16b72bd1"></a><br></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#45ff7554830558155c6fbce3b6827122">operator[]</a> (size_t i) throw (NetworkIndexOutOfBoundsException)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Redefinition for operator []. <a href="#45ff7554830558155c6fbce3b6827122"></a><br></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void&nbsp;</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> &amp;l)</td></tr>
@ -55,7 +55,7 @@
<tr><td class="memItemLeft" nowrap align="right" valign="top">void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#fcfd306039dbaf91c9e2dcc8fc1f1ce1">propagate</a> ()</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">It propagates its activation values to the output layers. <a href="#fcfd306039dbaf91c9e2dcc8fc1f1ce1"></a><br></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">size_t&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#c8d2f7513e5d40518f9dddfd1e3ddcc5">size</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">size_t&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#7ca71ed62fbe9c1e9c0fb6a8dcaf76f0">size</a> () const </td></tr>
<tr><td colspan="2"><br><h2>Private Attributes</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">vector&lt; <a class="el" href="classneuralpp_1_1Neuron.html">Neuron</a> &gt;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#855685c9da56b06b629e13a2f8c719ce">elements</a></td></tr>
@ -64,14 +64,12 @@
<tr><td class="memItemLeft" nowrap align="right" valign="top">double(*&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#824367da29f92253a027a7c5b4a4405e">actv_f</a> )(double)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">double(*&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classneuralpp_1_1Layer.html#a0207b14ba80aaf03502749ecb7d23fa">deriv</a> )(double)</td></tr>
</table>
<hr><a name="_details"></a><h2>Detailed Description</h2>
Class for managing layers of 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&#39;s class.">NeuralNet</a> instead <hr><h2>Constructor &amp; Destructor Documentation</h2>
<a class="anchor" name="411a4dc8a1bb2fe44fe7a69fa50fd764"></a><!-- doxytag: member="neuralpp::Layer::Layer" ref="411a4dc8a1bb2fe44fe7a69fa50fd764" args="(size_t sz, double(*a)(double), double(*d)(double))" -->
<a class="anchor" name="fb08bddd85d36570dabfe915461f07c5"></a><!-- doxytag: member="neuralpp::Layer::Layer" ref="fb08bddd85d36570dabfe915461f07c5" args="(size_t sz, double(*a)(double))" -->
<div class="memitem">
<div class="memproto">
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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
<td class="paramkey"></td>
<td></td>
<td class="paramtype">double(*)(double)&nbsp;</td>
<td class="paramname"> <em>a</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">double(*)(double)&nbsp;</td>
<td class="paramname"> <em>d</em></td><td>&nbsp;</td>
<td class="paramname"> <em>a</em></td><td>&nbsp;</td>
</tr>
<tr>
<td></td>
@ -109,13 +101,12 @@ Constructor.
<table border="0" cellspacing="2" cellpadding="0">
<tr><td valign="top"></td><td valign="top"><em>sz</em>&nbsp;</td><td>Size of the layer </td></tr>
<tr><td valign="top"></td><td valign="top"><em>a</em>&nbsp;</td><td>Activation function </td></tr>
<tr><td valign="top"></td><td valign="top"><em>d</em>&nbsp;</td><td>Its derivate </td></tr>
</table>
</dl>
</div>
</div><p>
<a class="anchor" name="117d1c3b481641816e80ea36826d2107"></a><!-- doxytag: member="neuralpp::Layer::Layer" ref="117d1c3b481641816e80ea36826d2107" args="(vector&lt; Neuron &gt; &amp;neurons, double(*a)(double), double(*d)(double))" -->
<a class="anchor" name="609ed16b8d79dc384b01ba7d16b72bd1"></a><!-- doxytag: member="neuralpp::Layer::Layer" ref="609ed16b8d79dc384b01ba7d16b72bd1" args="(vector&lt; Neuron &gt; &amp;neurons, double(*a)(double))" -->
<div class="memitem">
<div class="memproto">
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@ -129,13 +120,7 @@ Constructor.
<td class="paramkey"></td>
<td></td>
<td class="paramtype">double(*)(double)&nbsp;</td>
<td class="paramname"> <em>a</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">double(*)(double)&nbsp;</td>
<td class="paramname"> <em>d</em></td><td>&nbsp;</td>
<td class="paramname"> <em>a</em></td><td>&nbsp;</td>
</tr>
<tr>
<td></td>
@ -153,7 +138,6 @@ It directly gets a vector of neurons to build the layer <dl compact><dt><b>Param
<table border="0" cellspacing="2" cellpadding="0">
<tr><td valign="top"></td><td valign="top"><em>neurons</em>&nbsp;</td><td>Vector of neurons to be included in the layer </td></tr>
<tr><td valign="top"></td><td valign="top"><em>a</em>&nbsp;</td><td>Activation function </td></tr>
<tr><td valign="top"></td><td valign="top"><em>d</em>&nbsp;</td><td>Its derivate </td></tr>
</table>
</dl>
@ -170,7 +154,7 @@ It directly gets a vector of neurons to build the layer <dl compact><dt><b>Param
<td class="paramtype">size_t&nbsp;</td>
<td class="paramname"> <em>i</em> </td>
<td>&nbsp;)&nbsp;</td>
<td></td>
<td> throw (NetworkIndexOutOfBoundsException)</td>
</tr>
</table>
</div>
@ -290,7 +274,7 @@ It propagates its activation values to the output layers.
</div>
</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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@ -299,7 +283,7 @@ It propagates its activation values to the output layers.
<td>(</td>
<td class="paramname"> </td>
<td>&nbsp;)&nbsp;</td>
<td></td>
<td> const</td>
</tr>
</table>
</div>
@ -354,27 +338,12 @@ It propagates its activation values to the output layers.
<p>
</div>
</div><p>
<a class="anchor" name="a0207b14ba80aaf03502749ecb7d23fa"></a><!-- doxytag: member="neuralpp::Layer::deriv" ref="a0207b14ba80aaf03502749ecb7d23fa" args=")(double)" -->
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<tr>
<td class="memname">double(* <a class="el" href="classneuralpp_1_1Layer.html#a0207b14ba80aaf03502749ecb7d23fa">neuralpp::Layer::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&nbsp;
<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 15 02:56:02 2009 for Neural++ by&nbsp;
<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>