public NeuralNet(NeuronMode mode, bool evolveActivationThreshold, int inputCount, int outputCount, int middleCount, int hiddenLayerCount)
{
this.mode = mode;
inputLayer = new InputLayer(inputCount);
outputLayer = new NeuronLayer(mode, outputCount, defaultActivationThreshold, evolveActivationThreshold);
NeuronLayer prevLayer = null;
for (int i = 0; i < hiddenLayerCount; ++i)
{
NeuronLayer newLayer = new NeuronLayer(mode, middleCount, defaultActivationThreshold, evolveActivationThreshold);
hiddenLayers.Add(newLayer);
if (prevLayer != null)
{
prevLayer.setOutputLayer(newLayer);
}
prevLayer = newLayer;
}
if (prevLayer != null)
{
prevLayer.setOutputLayer(outputLayer);
inputLayer.setOutputLayer(hiddenLayers[0]);
}
else
{
inputLayer.setOutputLayer(outputLayer);
}
}
public NeuronLayer(NeuronMode mode, int neuronCount, double activationThreshold, bool evolveActivationThreshold)
{
for (int i = 0; i < neuronCount; ++i)
{
if (mode == NeuronMode.NEURON)
{
neuronList.Add(new Neuron(activationThreshold, evolveActivationThreshold));
}
else if (mode == NeuronMode.PERCEPTRON)
{
neuronList.Add(new Perceptron(activationThreshold, evolveActivationThreshold));
}
}
}
