public void AddLink(CPPNNetworkNeuron from, CPPNNetworkNeuron to, Complex weight)
{
if (Neurons.Contains(from) && Neurons.Contains(to))
{
(to as CPPNOutputNeuron).AddChild(from, weight);
}
}
public bool Connect(Neuron neuron, Neuron input, double weight)
{
if (!Neurons.Contains(neuron) || !Neurons.Contains(input))
{
return(false);
}
neuron.Connect(input.Id, weight);
return(true);
}
public bool Disconnect(Neuron neuron, Neuron input)
{
if (!Neurons.Contains(neuron) || !Neurons.Contains(input))
{
return(false);
}
neuron.Disconnect(input.Id);
if (Output.Contains(neuron))
{
Output.Remove(neuron);
}
return(true);
}
public void AddNeuron(Neuron neuron, IEnumerable <Neuron> inputs)
{
if (neuron.Tag == NeuronTag.output)
{
Output.Add(neuron);
}
if (neuron.Tag == NeuronTag.input)
{
Input.Add(neuron);
}
var rand = new Random();
neuron.Id = Neurons.Count.ToString();
NeuronsIds[neuron.Id] = neuron;
Neurons.Add(neuron);
foreach (var input in inputs)
{
if (Neurons.Contains(input))
{
neuron.Connect(input.Id, rand.NextDouble() - 0.5d);//wights generation to fix
}
}
}