mirror of
https://github.com/BlackLight/neuralpp.git
synced 2024-11-16 14:57:14 +01:00
52 lines
1.5 KiB
C++
52 lines
1.5 KiB
C++
/**
|
|
* 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.
|
|
*
|
|
* by BlackLight, 2009
|
|
*/
|
|
|
|
#include <iostream>
|
|
#include <neural++.hpp>
|
|
|
|
using namespace std;
|
|
using namespace neuralpp;
|
|
|
|
int main() {
|
|
NeuralNet net(2, 2, 2, 0.005, 100);
|
|
string xml;
|
|
double tmp;
|
|
int id = 0;
|
|
|
|
// 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(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 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;
|
|
return 0;
|
|
}
|
|
|