MLP

/*
	Artificial Neural Networks Library - MLP implementation

	Copyright (C) 2010 Arthur Nascimento <tureba@gmail.com>

	This program is free software: you can redistribute it and/or modify
	it under the terms of the GNU General Public License as published by
	the Free Software Foundation, either version 3 of the License, or
	(at your option) any later version.

	This program is distributed in the hope that it will be useful,
	but WITHOUT ANY WARRANTY; without even the implied warranty of
	MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
	GNU General Public License for more details.

	You should have received a copy of the GNU General Public License
	along with this program.  If not, see <http://www.gnu.org/licenses/>.
*/

#ifndef MLP_CLASS
#define MLP_CLASS

template <typename T = float>
class MLP
{

private:
	int num_layers;        // number of layers
	int *size_layers;      // number of neurons in each layer

	//int QT_INPUT;	//Qt de entradas // TODO: substituir por _num_layers
	T learning_tax;        // learning tax
	T learning_momentum;   // learning momentum
	T **value_noF;         // value of the neuron before the activation function
	T ***w;                // weights of the network
	int num_training_sets; // number of training sets
	T **training_sets;     // training sets

public:
	int max_iter;
	float max_error;

	typedef T (MLP::*t_function)(T);
	t_function activation_function;
	t_function activation_function_derivative;

private:
	/* default constructor is inaccessible */
	MLP () {}

	void init (int _num_layers, int *_size_layers, T _learning_tax, T _learning_momentum);
	void clean ();
	void load (const char *filename);
	void copy (const MLP<T> &NN);

public:
	MLP (int _num_layers, int *_size_layers, T _learning_tax, T _learning_momentum);
	MLP (const char *filename);
	MLP (const MLP<T> &NN);

	float learn (T *input, T *output);
	float learn (const char *input, const char *output);
	float learn (int ifd, int ofd);

	void execute (T *input, T *output);
	void execute (const char *input, const char *output);
	void execute (int ifd);


	T sigmoid (T x);
	T dev_sigmoid (T x);

	T tanh (T x);
	T dev_tanh (T x);
};

#include "MLP.tcc"

#endif //MLP_CLASS

/* vim: set syntax=cpp ts=8: */