public void AddNeuron(CPPNNetworkNeuron neuron)
{
Neurons.Add(neuron);
if (neuron is CPPNInputNeuron)
{
inputNeurons.Add((CPPNInputNeuron)neuron);
}
else if (neuron.GetType() == typeof(CPPNOutputNeuron))
{
outputNeuron = (CPPNOutputNeuron)neuron;
}
else if (neuron.GetType() == typeof(CPPNHiddenNeuron))
{
hiddenNeurons.Add((CPPNHiddenNeuron)neuron);
}
}
public void Update()
{
switch (Type)
{
case CPPNNeuronType.Input:
Phene = new CPPNInputNeuron();
break;
case CPPNNeuronType.Output:
Phene = new CPPNOutputNeuron(ActivationFunction.Function);
break;
case CPPNNeuronType.Hidden:
Phene = new CPPNHiddenNeuron(ActivationFunction.Function);
break;
case CPPNNeuronType.Bias:
Phene = new CPPNBiasNeuron();
break;
}
}
public void Update()
{
switch (Type)
{
case CPPNNeuronType.Input:
Phene = new CPPNInputNeuron();
break;
case CPPNNeuronType.Output:
Phene = new CPPNOutputNeuron(ActivationFunction.Function);
break;
case CPPNNeuronType.Hidden:
Phene = new CPPNHiddenNeuron(ActivationFunction.Function);
break;
case CPPNNeuronType.Bias:
Phene = new CPPNBiasNeuron();
break;
}
}
public void AddNeuron(CPPNNetworkNeuron neuron)
{
Neurons.Add(neuron);
if (neuron is CPPNInputNeuron)
{
inputNeurons.Add((CPPNInputNeuron)neuron);
}
else if (neuron.GetType() == typeof(CPPNOutputNeuron))
{
outputNeuron = (CPPNOutputNeuron)neuron;
}
else if (neuron.GetType() == typeof(CPPNHiddenNeuron))
{
hiddenNeurons.Add((CPPNHiddenNeuron)neuron);
}
}