/// <summary>
/// 初始化神经网络
/// </summary>
/// <param name="inLayerNodeCount">输入层节点数</param>
/// <param name="hiddenLayerNodeCount">输出层节点数</param>
/// <param name="outLayerNodeCount">输出层节点数</param>
public NeuralNet(LayerData inLayerNode, [NotNull] LayerData[] hiddenLayerNode, LayerData outLayerNode)
{
// 输入层
InLayer = new NeuronLayer(inLayerNode.NodeCount, inLayerNode.ActiveType);
// 隐层
HideLayer = new NeuronLayer[hiddenLayerNode.Length];
for (var i = 0; i < hiddenLayerNode.Length; i++)
{
HideLayer[i] = new NeuronLayer(hiddenLayerNode[i].NodeCount, hiddenLayerNode[i].ActiveType);
}
// 输出层
OutLayer = new NeuronLayer(outLayerNode.NodeCount, outLayerNode.ActiveType);
InLayer.ConnectLayer(HideLayer[0]);
for (var i = 0; i < hiddenLayerNode.Length - 1; i++)
{
HideLayer[i].ConnectLayer(HideLayer[i + 1]);
}
HideLayer[HideLayer.Length - 1].ConnectLayer(OutLayer);
}
/// <summary>
/// 初始化神经网络
/// </summary>
/// <param name="inLayerNodeCount">输入层节点数</param>
/// <param name="hiddenLayerNodeCount">输出层节点数</param>
/// <param name="outLayerNodeCount">输出层节点数</param>
public NeuralNet(int inLayerNodeCount, [NotNull] int[] hiddenLayerNodeCount, int outLayerNodeCount)
{
// 输入层
InLayer = new NeuronLayer(inLayerNodeCount);
// 隐层
HideLayer = new NeuronLayer[hiddenLayerNodeCount.Length];
for (var i = 0; i < hiddenLayerNodeCount.Length; i++)
{
HideLayer[i] = new NeuronLayer(hiddenLayerNodeCount[i]);
}
// 输出层
OutLayer = new NeuronLayer(outLayerNodeCount);
InLayer.ConnectLayer(HideLayer[0]);
for (var i = 0; i < hiddenLayerNodeCount.Length - 1; i++)
{
HideLayer[i].ConnectLayer(HideLayer[i + 1]);
}
HideLayer[HideLayer.Length - 1].ConnectLayer(OutLayer);
}
/// <summary>
/// 连接层
/// </summary>
/// <param name="layer">层类</param>
public void ConnectLayer([NotNull] NeuronLayer layer)
{
NextLayer = layer;
layer.PreLayer = this;
for (var i = 0; i < NodeList.Count; i++)
{
for (var j = 0; j < NextLayer.NodeList.Count; j++)
{
NodeList[i].ConnectNeuron(NextLayer.NodeList[j]);
}
}
}
