public void TrainOn(NNDataSet innds, int numberofEpochs)
{
for (int i = 0; i < numberofEpochs; i++)
{
innds.RefreshDataset();
while (innds.HasMoreExamples())
{
NNExample nne = innds.GetExampleAtRandom();
this.ProcessInput(nne.GetInput());
Vector error = layer.ErrorVectorFrom(nne.GetTarget());
this.ProcessError(error);
}
}
}
public Vector Predict(NNExample nne)
{
return(this.ProcessInput(nne.GetInput()));
}