GANN Namespace Reference

Contains all the objects that provide the management for the genetic algorithm with neural networks. More...

Classes
class	ANN
	Define what is a neural network. More...
class	ANNException
	Define the exception that will be used by the GANN::ANN class. More...
class	ANNGenerator
	Define the generator of a neural network. More...
class	ANNLayer
	Define a layer of a neural network. More...
class	GANN
	Define a new object called "GANN" for Genetic Artificial Neural Network that inherit of the interface IDNA. More...
class	GANNEngine
	Define the engine that will manage the population of GANN and the evolution. More...
class	GANNException
	Define the exception that will be used by the GANNEngine class. More...
class	Matrix

Functions
template<class T >
Matrix< T >	operator+ (Matrix< T > const &m1, Matrix< T > const &m2)
template<class T >
Matrix< T >	operator- (Matrix< T > const &m1, Matrix< T > const &m2)
template<class T >
Matrix< T >	operator+ (Matrix< T > const &m1, T const &s)
template<class T >
Matrix< T >	operator* (Matrix< T > const &m1, T const &s)
template<class T >
Matrix< T >	operator* (Matrix< T > const &m1, Matrix< T > const &m2)
template<class T >
bool	operator== (Matrix< T > const &m1, Matrix< T > const &m2)
template<class T >
bool	operator== (Matrix< T > &m1, Matrix< T > &m2)
template<class T >
std::ostream &	operator<< (std::ostream &flux, Matrix< T > const &m)
double	Sigmoid (double x)
double	Threshold (double x)
double	RandomDouble (double min, double max)
int	RandomInt (int min, int max)

Detailed Description

Contains all the objects that provide the management for the genetic algorithm with neural networks.