private void TrainNeuralNetwork()
{
Debug.WriteLine("MyNN: Learning Started");
m_BPLearning = new BackPropagationLearning(m_network, m_learningRate, m_momentum, m_goal);
double[][] input;
double[][] output;
int maxEpochs = 500;
CreateInputOutput(out input, out output);
if (input == null && output == null)
{
return; //network is too small (needs to be recreated)
}
double error = m_BPLearning.Train(input, output, ref maxEpochs);
Debug.WriteLine(string.Format("MyNN trained: {0} epochs, {1} error", maxEpochs, error));
if (m_saveIsRequired)
{
m_saveIsRequired = false;
FileOptions.SaveTrainingSet(m_curveSets);
m_curveSets = null;
FileOptions.SaveNeuralNetwork(m_network);
}
OnNetworkLearnt(error, maxEpochs);
}