neuralpp/examples/networkForSumsAndSubtractions.cpp
2009-09-04 11:27:14 +02:00

48 lines
1.2 KiB
C++

/**
* This program creates a neural network from scratch. Its purpose is to get
* two numbers and learn to compute their sum and difference (so the network
* provides two output values). The training set is auto-generated to an XML
* string, and then the network is trained.
*
* by BlackLight, 2009
*/
#include <iostream>
#include <neural++.hpp>
using namespace std;
using namespace neuralpp;
int main() {
NeuralNet net(2, 2, 2, 0.002, 1000);
string xml;
double tmp;
int id = 0;
// XML initialization. Then, I say XML that 3+2=5, 3-2=1; 4+2=6, 4-2=2; 6+3=9, 6-3=3
// Strings' format is "input1,input2,...,inputn;output1,output2,...,outputm
NeuralNet::initXML(xml);
xml += NeuralNet::XMLFromSet(id, "3,2;5,1");
xml += NeuralNet::XMLFromSet(id, "4,2;6,2");
xml += NeuralNet::XMLFromSet(id, "6,3;9,3");
NeuralNet::closeXML(xml);
cout << xml << endl;
net.train(xml, NeuralNet::str);
vector<double> v;
cout << "Network status: trained\n\n";
cout << "First number: ";
cin >> tmp;
v.push_back(tmp);
cout << "Second number: ";
cin >> tmp;
v.push_back(tmp);
net.setInput(v);
net.propagate();
cout << "Output: " << net.getOutputs()[0] << "; " << net.getOutputs()[1] << endl;
return 0;
}