public Neuron(int size, Random rnd)
{
Charge = 0.0f;
State = NeuronState.Idle;
Weights = new float[size];
for (int i = 0; i < size; ++i)
{
Weights[i] = 0.0f;
}
}
private void StoreState(INeuralNetwork net)
{
NeuronState state = new NeuronState();
INeuron n = net.Layers[1][0];
state.Inputs = new double[n.NeuralInputs.Count];
state.Weights = new double[n.NeuralInputs.Count];
int i = 0;
foreach (INeuralConnection ni in n.NeuralInputs)
{
state.Weights[i] = ni.Weight;
state.Inputs[i] = ni.Signal;
i++;
}
state.Output = net[0];
LearningStory.Add(state);
}
