54 lines
1.5 KiB
C++
54 lines
1.5 KiB
C++
/**
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* Similar to learnAdd.cpp, but this time the
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* training XML is generated as a string and not saved to a file, and parsed by the
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* program itself to build the network. Then, the program asks two real numbers, and
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* performs both the sum and the difference between them, putting the sum's output on
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* the first output neuron and the difference's on the second output neuron. Anyway,
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* using more than one neuron in the output layer is strongly discouraged, as the network
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* usually won't set correctly the synaptical weights to give satisfying and accurate
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* answers for all of the operations.
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*
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* by BlackLight, 2009
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*/
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#include <iostream>
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#include <neural++.hpp>
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using namespace std;
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using namespace neuralpp;
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int main() {
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NeuralNet net(2, 2, 1, 0.002, 1000);
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string xml;
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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
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// Strings' format is "input1,input2,...,inputn;output1,output2,...,outputm
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NeuralNet::initXML(xml);
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xml += NeuralNet::XMLFromSet(id, "3,2;5");
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xml += NeuralNet::XMLFromSet(id, "6,3;9");
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xml += NeuralNet::XMLFromSet(id, "2,3;5");
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xml += NeuralNet::XMLFromSet(id, "4,4;8");
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NeuralNet::closeXML(xml);
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cout << xml << endl;
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net.train(xml, NeuralNet::str);
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vector<double> v;
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cout << "Network status: trained\n\n";
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cout << "First number to add: ";
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cin >> tmp;
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v.push_back(tmp);
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cout << "Second number to add: ";
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cin >> tmp;
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v.push_back(tmp);
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net.setInput(v);
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net.propagate();
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cout << "Output: " << net.getOutput() << endl;
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return 0;
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}
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