bp.h

神经网络bp自学习算法的c++实现

class NeuralNetworkLayer
{
public:
     int               NumberOfNodes;
     int               NumberOfChildNodes;
     int               NumberOfParentNodes;
     double**          Weights;
     double**          WeightChanges;
     double*           NeuronValues;
     double*           DesiredValues;
     double*           Errors;
     double*           BiasWeights;
     double*           BiasValues;
     double            LearningRate;
     bool              LinearOutput;
     bool              UseMomentum;
     double            MomentumFactor;
     NeuralNetworkLayer*     ParentLayer;
     NeuralNetworkLayer*     ChildLayer;
     NeuralNetworkLayer();
     void     Initialize(int NumNodes,
                            NeuralNetworkLayer* parent,
                            NeuralNetworkLayer* child);
     void     CleanUp(void);
     void     RandomizeWeights(void);
     void     CalculateErrors(void);
     void     AdjustWeights(void);
     void     CalculateNeuronValues(void);
	 void     OutData(void);
};

class NeuralNetwork
{
    public:
     NeuralNetworkLayer     InputLayer;
     NeuralNetworkLayer     HiddenLayer;
     NeuralNetworkLayer     OutputLayer;
     void     Initialize(int nNodesInput, int nNodesHidden,
                              int nNodesOutput);
     void     CleanUp();
     void     SetInput(int i, double value);
     double   GetOutput(int i);
     void     SetDesiredOutput(int i, double value);
     void     FeedForward(void);
     void     BackPropagate(void);
     void     DumpData(char* filename);
     double   CalculateError(void);
     void     SetLearningRate(double rate);
	 void     OutData(void);
	 void     TrainBPNetWork(void);
     
};