Testing, testing, testing

This commit is contained in:
blacklight 2009-08-09 19:53:21 +02:00
parent b50b2c08ae
commit aac905673b
5 changed files with 22 additions and 15 deletions

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@ -10,16 +10,16 @@
using namespace neuralpp;
int main() {
NeuralNet net(2, 2, 1, 0.005, 10000);
NeuralNet net(3, 3, 1, 0.005, 1000);
string xml;
double tmp;
// XML initialization. Then, I say XML that 2+3=5, 3+3=6, 5+4=9
// Strings' format is "input1,input2,...,inputn;output1,output2,...,outputm
NeuralNet::initXML(xml);
xml += NeuralNet::XMLFromSet(0, "2,3;5");
xml += NeuralNet::XMLFromSet(1, "3,3;6");
xml += NeuralNet::XMLFromSet(2, "5,4;9");
xml += NeuralNet::XMLFromSet(0, "2,3,4;9");
xml += NeuralNet::XMLFromSet(1, "3,3,1;7");
xml += NeuralNet::XMLFromSet(2, "5,4,2;11");
NeuralNet::closeXML(xml);
net.train(xml, NeuralNet::str);
@ -34,6 +34,10 @@ int main() {
cin >> tmp;
v.push_back(tmp);
cout << "Third number to add: ";
cin >> tmp;
v.push_back(tmp);
net.setInput(v);
net.propagate();
cout << "Output: " << net.getOutput() << endl;

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@ -11,7 +11,7 @@
using namespace neuralpp;
int main() {
NeuralNet net(2, 2, 1, 0.005, 10000);
NeuralNet net(2, 2, 1, 0.005, 1000);
cout << "Training in progress - This may take a while...if it gets stuck, interrupt and restart the app\n";
net.train("adder.xml", NeuralNet::file);

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@ -53,10 +53,6 @@ namespace neuralpp {
double l_rate;
double ex;
Layer* input;
Layer* hidden;
Layer* output;
/**
* @brief It updates the weights of the net's synapsis through back-propagation.
* In-class use only
@ -90,6 +86,10 @@ namespace neuralpp {
double (*deriv)(double);
public:
Layer* input;
Layer* hidden;
Layer* output;
/**
* @brief Enum to choose the eventual training source for our network (XML from a file or from a string)
*/

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@ -11,6 +11,7 @@
* this program. If not, see <http://www.gnu.org/licenses/>. *
**************************************************************************************************/
#include <sstream>
#include "neural++.hpp"
#include "Markup.h"
@ -417,7 +418,7 @@ namespace neuralpp {
xml.OutOfElem();
while (!valid) {
char str[BUFSIZ];
stringstream ss(stringstream::in | stringstream::out);
setInput(input);
propagate();
@ -425,11 +426,10 @@ namespace neuralpp {
update();
out = getOutput();
memset(str, 0x0, sizeof(str));
snprintf(str, sizeof(str), "%f",
out);
if (!strstr(str, "inf"))
ss << out;
if (ss.str().find("inf") == string::npos)
valid = true;
}
}

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@ -73,7 +73,10 @@ namespace neuralpp {
}
void Synapsis::setWeight(double w) {
weight = w;
if (weight > 1.0)
weight = 1.0;
else
weight = w;
}
void Synapsis::setDelta(double d) {