mirror of
https://github.com/vcmi/vcmi.git
synced 2024-12-28 23:06:24 +02:00
67 lines
1.7 KiB
C++
67 lines
1.7 KiB
C++
|
|
|
|
/*******************************************************************
|
|
* addapted by Trevor Standley for use as a function approximator
|
|
* Addapted from:
|
|
* Basic Feed Forward Neural Network Class
|
|
* ------------------------------------------------------------------
|
|
* Bobby Anguelov - takinginitiative.wordpress.com (2008)
|
|
* MSN & email: banguelov@cs.up.ac.za
|
|
********************************************************************/
|
|
#ifndef NEURAL_NETWORK_H
|
|
#define NEURAL_NETWORK_H
|
|
//standard includes
|
|
#include <iostream>
|
|
#include <vector>
|
|
#include <fstream>
|
|
#include <cmath>
|
|
#include <limits>
|
|
|
|
|
|
class neuralNetwork
|
|
{
|
|
private:
|
|
|
|
//number of neurons
|
|
int nInput, nHidden1, nHidden2, nOutput;
|
|
|
|
//neurons
|
|
double* inputNeurons;
|
|
double* hiddenNeurons1;
|
|
double* hiddenNeurons2;
|
|
double* outputNeurons;
|
|
|
|
//weights
|
|
double** wInputHidden;
|
|
double** wHidden2Hidden;
|
|
double** wHiddenOutput;
|
|
|
|
|
|
public:
|
|
|
|
//constructor & destructor
|
|
neuralNetwork(int numInput, int numHidden1, int numHidden2, int numOutput);
|
|
neuralNetwork(const neuralNetwork&);
|
|
neuralNetwork();
|
|
void operator = (const neuralNetwork&);
|
|
~neuralNetwork();
|
|
|
|
//weight operations
|
|
double* feedForwardPattern( double* pattern );
|
|
void backpropigate(double* pattern, double OLR, double H2LR, double H1LR );
|
|
|
|
void tweakWeights(double howMuch);
|
|
void mate(const neuralNetwork&n1,const neuralNetwork&n2);
|
|
|
|
|
|
|
|
private:
|
|
void initializeWeights();
|
|
inline double activationFunction( double x );
|
|
void feedForward( double* pattern );
|
|
|
|
};
|
|
|
|
std::istream & operator >> (std::istream &, neuralNetwork & ann);
|
|
std::ostream & operator << (std::ostream &, const neuralNetwork & ann);
|
|
#endif |