public Node(NodeGemone g, Network network)
{
this.network = network;
bias = g.b;
this.Type = g.Type;
ID = g.ID;
}
/// <summary>
/// 生成基因
/// </summary>
/// <param name="inputL">基因神经网络输入数量</param>
/// <param name="outputL">基因神经网络输出数量</param>
public Genome(int inputL, int outputL)
{
baoluizhi = inputL + outputL;
nodeGemones = new NodeGemone[baoluizhi];
for (int i = 0; i < inputL; i++)
{
nodeGemones[i] = new NodeGemone();
nodeGemones[i].b = 0;
nodeGemones[i].ID = i;
nodeGemones[i].Type = NodeType.Input;
}
for (int i = inputL; i < outputL + inputL; i++)
{
nodeGemones[i] = new NodeGemone();
nodeGemones[i].b = 0;
nodeGemones[i].ID = i;
nodeGemones[i].Type = NodeType.Output;
}
LinkGenones = new bool[baoluizhi, baoluizhi];
LinkWs = new float[baoluizhi, baoluizhi];
for (int inp = 0; inp < baoluizhi; inp++)
{
for (int outp = 0; outp < baoluizhi; outp++)
{
if (nodeGemones[inp].Type == NodeType.Input &&
nodeGemones[outp].Type == NodeType.Output)
{
LinkGenones[inp, outp] = true;
}
}
}
Random r = new Random();
LinkWs = new float[baoluizhi, baoluizhi];
for (int i = 0; i < baoluizhi; i++)
{
for (int j = 0; j < baoluizhi; j++)
{
LinkWs[i, j] = (float)(r.NextDouble() * 2);
}
}
}
