public virtual void printNet(NeuralNet n)
{
inputLayer.printLayer(n.InputLayer);
Console.WriteLine();
if (n.HiddenLayer != null)
{
hiddenLayer.printLayer(n.ListOfHiddenLayer);
Console.WriteLine();
}
outputLayer.printLayer(n.OutputLayer);
}
public virtual void printTrainedNetResult(NeuralNet n)
{
switch (n.trainType)
{
case TrainingTypesENUM.BACKPROPAGATION:
Backpropagation b = new Backpropagation();
b.printTrainedNetResult(n);
break;
default:
throw new System.ArgumentException(n.trainType + " does not exist in TrainingTypesENUM");
}
}
public virtual NeuralNet trainNet(NeuralNet n)
{
NeuralNet trainedNet = new NeuralNet();
switch (n.trainType)
{
case TrainingTypesENUM.BACKPROPAGATION:
Backpropagation b = new Backpropagation();
trainedNet = b.train(n);
return(trainedNet);
default:
throw new System.ArgumentException(n.trainType + " does not exist in TrainingTypesENUM");
}
}
