public virtual NeuralNet initNet(int numberOfInputNeurons, int numberOfHiddenLayers, int numberOfNeuronsInHiddenLayer, int numberOfOutputNeurons)
{
inputLayer = new InputLayer();
inputLayer.NumberOfNeuronsInLayer = numberOfInputNeurons;
listOfHiddenLayer = new List <HiddenLayer>();
for (int i = 0; i < numberOfHiddenLayers; i++)
{
hiddenLayer = new HiddenLayer();
hiddenLayer.NumberOfNeuronsInLayer = numberOfNeuronsInHiddenLayer;
listOfHiddenLayer.Add(hiddenLayer);
}
outputLayer = new OutputLayer();
outputLayer.NumberOfNeuronsInLayer = numberOfOutputNeurons;
inputLayer = inputLayer.initLayer(inputLayer);
if (numberOfHiddenLayers > 0)
{
listOfHiddenLayer = hiddenLayer.initLayer(hiddenLayer, listOfHiddenLayer, inputLayer, outputLayer);
}
outputLayer = outputLayer.initLayer(outputLayer);
NeuralNet newNet = new NeuralNet();
newNet.InputLayer = inputLayer;
newNet.HiddenLayer = hiddenLayer;
newNet.ListOfHiddenLayer = listOfHiddenLayer;
newNet.NumberOfHiddenLayers = numberOfHiddenLayers;
newNet.OutputLayer = outputLayer;
return(newNet);
}
