neuralpp/examples/adderFromScratch.cpp

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/**
* Similar to learnAdd.cpp, but this time the
* training XML is generated as a string and not saved to a file, and parsed by the
* program itself to build the network. Then, the program asks two real numbers, and
* performs both the sum and the difference between them, putting the sum's output on
* the first output neuron and the difference's on the second output neuron. Anyway,
* using more than one neuron in the output layer is strongly discouraged, as the network
* usually won't set correctly the synaptical weights to give satisfying and accurate
* answers for all of the operations.
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*
* by BlackLight, 2009
*/
#include <iostream>
#include <neural++.hpp>
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using namespace std;
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using namespace neuralpp;
int main() {
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NeuralNet net(2, 2, 2, 0.005, 100);
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string xml;
double tmp;
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int id = 0;
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// 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);
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xml += NeuralNet::XMLFromSet(id, "3,2;5,1");
xml += NeuralNet::XMLFromSet(id, "4,2;6,2");
xml += NeuralNet::XMLFromSet(id, "6,3;9,3");
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NeuralNet::closeXML(xml);
cout << xml << endl;
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net.train(xml, NeuralNet::str);
vector<double> v;
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cout << "Network status: trained\n\n";
cout << "First number to add: ";
cin >> tmp;
v.push_back(tmp);
cout << "Second number to add: ";
cin >> tmp;
v.push_back(tmp);
net.setInput(v);
net.propagate();
cout << "Output: " << net.getOutputs()[0] << "; " << net.getOutputs()[1] << endl;
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return 0;
}