public void Initialize(int nNodesInput, int nNodesHidden, int nNodesOutput)
{
InputLayer.nodeCount = nNodesInput;
InputLayer.childNodeCount = nNodesHidden;
InputLayer.parentNodeCount = 0;
InputLayer.Initialize(nNodesInput, null, HiddenLayer);
InputLayer.RandomizeWeights();
HiddenLayer.nodeCount = nNodesHidden;
HiddenLayer.childNodeCount = nNodesOutput;
HiddenLayer.parentNodeCount = nNodesInput;
HiddenLayer.Initialize(nNodesHidden, InputLayer, OutputLayer);
HiddenLayer.RandomizeWeights();
OutputLayer.nodeCount = nNodesOutput;
OutputLayer.childNodeCount = 0;
OutputLayer.parentNodeCount = nNodesHidden;
OutputLayer.Initialize(nNodesOutput, HiddenLayer, null);
}
// 初期化する
public void Initialize(int nNodesInput, int nNodesHidden, int nNodesOutput)
{
InputLayer.NumberOfNodes = nNodesInput;
InputLayer.NumberOfChildNodes = nNodesHidden;
InputLayer.NumberOfParentNodes = 0;
InputLayer.Initialize(nNodesInput, null, HiddenLayer);
InputLayer.RandomizeWeights();
HiddenLayer.NumberOfNodes = nNodesHidden;
HiddenLayer.NumberOfChildNodes = nNodesOutput;
HiddenLayer.NumberOfParentNodes = nNodesInput;
HiddenLayer.Initialize(nNodesHidden, InputLayer, OutputLayer);
HiddenLayer.RandomizeWeights();
OutputLayer.NumberOfNodes = nNodesOutput;
OutputLayer.NumberOfChildNodes = 0;
OutputLayer.NumberOfParentNodes = nNodesHidden;
OutputLayer.Initialize(nNodesOutput, HiddenLayer, null);
}
public void Initialize(int nNodesInput, int nNodesHidden, int nNodesOutput)
{
InputLayer = new NeuralNetworkLayer();
HiddenLayer = new NeuralNetworkLayer();
OutputLayer = new NeuralNetworkLayer();
InputLayer.NumberOfNodes = nNodesInput;
InputLayer.NumberOfChildNodes = nNodesHidden;
InputLayer.NumberOfParentNodes = 0;
NeuralNetworkLayer[] n = new NeuralNetworkLayer[2];
n[0] = null;
n[1] = HiddenLayer;
InputLayer.Initialize(nNodesInput, n);
InputLayer.RandomizeWeights();
HiddenLayer.NumberOfNodes = nNodesHidden;
HiddenLayer.NumberOfChildNodes = nNodesOutput;
HiddenLayer.NumberOfParentNodes = nNodesInput;
n = new NeuralNetworkLayer[2];
n[0] = InputLayer;
n[1] = OutputLayer;
HiddenLayer.Initialize(nNodesHidden, n);
HiddenLayer.RandomizeWeights();
OutputLayer.NumberOfNodes = nNodesOutput;
OutputLayer.NumberOfChildNodes = 0;
OutputLayer.NumberOfParentNodes = nNodesHidden;
n = new NeuralNetworkLayer[2];
n[0] = HiddenLayer;
n[1] = null;
OutputLayer.Initialize(nNodesOutput, n);
}