public NeuralNet(NeuralNet copyNet)
{
_inputLayer = new Layer(copyNet._inputLayer);
foreach (Layer layer in copyNet._hiddenLayers)
{
_hiddenLayers.Add(new Layer(layer));
}
_outputLayer = new Layer(copyNet._outputLayer);
}
/// <summary>
/// Crosses over NeuralNet n1 and NeuralNet n2
/// </summary>
/// <param name="n1"></param>
/// <param name="n2"></param>
public NeuralNet(NeuralNet network1, NeuralNet network2) : this()
{
//crossover
_inputLayer = new Layer(network1._inputLayer, network2._inputLayer);
for (int i = 0; i < network1._hiddenLayers.Count; i++)
{
_hiddenLayers.Add(new Layer(network1._hiddenLayers[i], network2._hiddenLayers[i]));
}
_outputLayer = new Layer(network1._outputLayer, network2._outputLayer);
}
public Generation(int numberPerGeneration, int inputCount, int hiddenLayerCount, int hiddenLayerSize, int outputCount)
{
_numberPerGeneration = numberPerGeneration;
_inputCount = inputCount;
_hiddenLayerCount = hiddenLayerCount;
_hiddenLayerSize = hiddenLayerSize;
_outputCount = outputCount;
for (int i = 0; i < numberPerGeneration; i++)
{
NeuralNet ai = new NeuralNet(inputCount, hiddenLayerCount, hiddenLayerSize, outputCount);
Players.Add(new Pig.Player(ai));
}
}
