neuralpp/examples/learnAdd.cpp

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/**
* This source creates a new neural network able to sum two integer numbers,
* using the training input set saved on "adder.xml" and saving output network
* on "adder.net"
*
* by BlackLight, 2009
*/
#include <iostream>
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#include <fstream>
#include <ctime>
#include <neural++.hpp>
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using namespace std;
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using namespace neuralpp;
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double f (double x) {
return (1.0/(1.0 + pow(M_E,x)));
}
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int main() {
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int id = 0;
string xml;
time_t t1, t2;
NeuralNet net(2, 2, 1, 0.005, 100);
NeuralNet::initXML(xml);
xml += NeuralNet::XMLFromSet(id, "2,3;5");
xml += NeuralNet::XMLFromSet(id, "3,2;5");
xml += NeuralNet::XMLFromSet(id, "6,2;8");
xml += NeuralNet::XMLFromSet(id, "2,2;4");
xml += NeuralNet::XMLFromSet(id, "1,2;3");
xml += NeuralNet::XMLFromSet(id, "-1,-2;-3");
xml += NeuralNet::XMLFromSet(id, "8,9;17");
xml += NeuralNet::XMLFromSet(id, "10,10;20");
NeuralNet::closeXML(xml);
ofstream out("adder.xml");
out << xml;
out.close();
cout << "Training file adder.xml has been written\n";
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t1 = time(NULL);
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cout << "Training in progress - This may take a while...\n";
net.train("adder.xml", NeuralNet::file);
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t2 = time(NULL);
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net.save("adder.net");
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cout << "Network trained in " << (t2-t1) << " seconds. You can use adder.net file now to load this network\n";
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return 0;
}