public void AddLearningPair(List <double> inputs, List <double> expectedOutputs)
{
if (inputs.Count != layers.getInputLayer().getNeurons().Count)
{
throw new ArgumentException("Learning pair inputs count must match neurons count in input layer.");
}
if (expectedOutputs.Count != layers.getOutputLayer().getNeurons().Count)
{
throw new ArgumentException("Learning pair outputs count must match neurons count in output layer.");
}
networkData.Inputs.Add(inputs);
networkData.ExpectedOutputs.Add(expectedOutputs);
}
public int GetInputLayerSize()
{
return(layers.getInputLayer().getNeurons().Count);
}