public NetworkContainer CloneNetwork(float errorChance)
{
IInput[] newInputs = new IInput[Inputs.Length];
IOutput[] newOutputs = new IOutput[Outputs.Length];
NodeData[] newHiddenLayer = new NodeData[HiddenLayer.Length];
NodeData[] newHiddenOutputLayer = new NodeData[HiddenOutputLayer.Length];
for (int i = 0; i < Inputs.Length; i++)
{
newInputs[i] = ((CreatureSensor)Inputs[i]).ImperfectCopy(null, errorChance, -0.2f, 0.2f);
}
for (int i = 0; i < Outputs.Length; i++)
{
newOutputs[i] = ((CreatureAction)Outputs[i]).ImperfectCopy(null, errorChance, -0.2f, 0.2f);
}
for (int i = 0; i < HiddenLayer.Length; i++)
{
newHiddenLayer[i] = HiddenLayer[i];
}
for (int i = 0; i < HiddenOutputLayer.Length; i++)
{
newHiddenOutputLayer[i] = HiddenOutputLayer[i];
}
var newNetwork = new NetworkContainer(Inputs, HiddenLayer, HiddenOutputLayer, Outputs);
//newNetwork.ModifyInputs();
//newNetwork.ModifyOutputs();
//newNetwork.ModifyHiddenLayers();
return(newNetwork);
}
public float GetNetworkEnergy(NeuralNetwork.NetworkContainer network)
{
var numSensors = network.Inputs.Length;
var numActions = network.HiddenLayer.Length;
var numHiddenNodes = network.Outputs.Length;
return(GetNetworkEnergy(numSensors, numActions, numHiddenNodes));
}
public int AddNetwork(NetworkContainer network)
{
return(AddNetwork(network.Inputs, network.Outputs, network.HiddenLayer, network.HiddenOutputLayer));
}
