public void ConnectWithLayer(Layer layer)
{
if (layer == null)
{
throw (new NetworkException());
}
foreach(Neuron neuron in _neurons)
{
neuron.AddInputs(layer);
}
}
public NeuralNetwork(int inSize, int hiddenSize, int outSize,
int hiddenCount)
{
if((inSize < 1) || (hiddenSize < 1) || (outSize < 1) || (hiddenCount < 1))
{
throw (new NetworkException());
}
inLayer = new Layer(inSize);
outLayer = new Layer(outSize);
hiddenLayer = new Layer[hiddenCount];
for(int i = 0; i < hiddenCount; i++)
{
hiddenLayer[i] = new Layer(hiddenSize);
}
outLayer.ConnectWithLayer(hiddenLayer[hiddenCount - 1]);
for (int i = (hiddenCount - 1); i > 0; i--)
{
hiddenLayer[i].ConnectWithLayer(hiddenLayer[i - 1]);
}
hiddenLayer[0].ConnectWithLayer(inLayer);
}