public Brain(List <IReceptor> receptors, List <IEffector> effectors, NeuralNetwork network = null)
{
_receptors = receptors;
_effectors = effectors;
var inputCount = 0;
foreach (var r in _receptors)
{
inputCount += r.Values.Count;
}
var outputCount = _effectors.Count;
if (network == null)
{
var r = new Random();
// MultilayerPerceptron
//var newNetwork = new MultilayerPerceptron(inputCount, outputCount, ActivationFunctions.Sigmoid);
//for (int i = 0; i < r.Next(2, 5); i++)
// newNetwork.AddLayer(r.Next(3, 10));
//newNetwork.Connect();
// SimpleNetwork
var hidden = new List <int>();
for (int i = 0; i < r.Next(1, 4); i++)
{
hidden.Add(r.Next(2, 6));
}
var newNetwork = new SimpleNetwork(inputCount, outputCount, ActivationFunctions.BinaryStep, hidden.ToArray());
for (int i = 0; i < hidden.Count * 3; i++)
{
newNetwork.Id += "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"[r.Next(62)];
}
network = newNetwork;
}
_network = network;
}
void Start()
{
sNetwork = GetComponent<SimpleNetwork>();
//pMove = GetComponent<Move>();
}
/// <summary>
/// Инициализируем две подсети: сверточную и полносвязную.
/// </summary>
/// <param name="inputHeight">Высота изображений</param>
/// <param name="inputWidth">Ширина изобржений</param>
public Web(int inputHeight, int inputWidth)
{
convNet = new Convolutional_Network(inputHeight, inputWidth);
simpleNet = new SimpleNetwork();
simpleNet.AddInputLayer(inputHeight * inputWidth);
}
