public void Pulse(NeuralLayer layer)
{
Output = 0;
foreach (Connection item in Input)
{
Output += item.Input.Output * item.Weight;
}
Output += Bias;
Sum = Output;
Output = ActivateFunction(Output);
}
public void Init(int seed, int inputNeurons, int hiddenNeurons, int outputNeurons)
{
InputLayer = new NeuralLayer();
HiddenLayer = new NeuralLayer();
OutputLayer = new NeuralLayer();
Random rand = new Random(seed);
int i, j;
for (i = 0; i < inputNeurons; i++)
{
InputLayer.neurons.Add(new Neuron(0));
}
for (i = 0; i < hiddenNeurons; i++)
{
HiddenLayer.neurons.Add(new Neuron(rand.NextDouble()));
}
for (i = 0; i < outputNeurons; i++)
{
OutputLayer.neurons.Add(new Neuron(rand.NextDouble()));
}
//Wire input together with the hidden layer
for (i = 0; i < HiddenLayer.neurons.Count; i++)
{
for (j = 0; j < InputLayer.neurons.Count; j++)
{
HiddenLayer.neurons[i].Input.Add(new Connection(InputLayer.neurons[j], rand.NextDouble()));
}
}
//Wire output together with hidden layer
for (i = 0; i < OutputLayer.neurons.Count; i++)
{
for (j = 0; j < HiddenLayer.neurons.Count; j++)
{
OutputLayer.neurons[i].Input.Add(new Connection(HiddenLayer.neurons[j], rand.NextDouble()));
}
}
}