layer.h

函数逼近

/*
 * 
 *	 Copyright 2004-2006 Ghassan OREIBY
 *   
 * 	 This file is part of Neurality.
 *
 *   Neurality 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 2 of the License, or
 *   (at your option) any later version.
 *
 *   Neurality 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 Neurality; if not, write to the Free Software
 *   Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
 *
 * 
 */


#pragma once

#ifndef		__LAYER__
#define		__LAYER__

#include "NeuralNetwork.h"

#define		WEIGHTRANGE 5.0f

CLASSEXPORT class CLASS_DECLSPEC CLayer;

struct  NodeStructureWithoutWeight	//Same as NodeStruct but without the weight parameter
{
	CNode						*Node;
	NodeStructureWithoutWeight	*Next;
};

struct LayerStruct					//A linked list type of layer (to store the list of layers)
{
	CLayer		*pLayer;
	LayerStruct	*Next;
};


//This Class represents a classic layer (a set of node) that connects to other layers,...
class CLayer
{
	friend class CNetwork;
public:
	CLayer(void);
	~CLayer(void);
	CLayer(int nNodeNum);
//private:
protected:
	//The List of Layers that are back connected to this layer
	LayerStruct *pbackLayerList;
protected:
	//A linked list that contains the list of neurones associated to the layer
	NodeStructureWithoutWeight	*pNodeStruct;	//not sure if should be public!! and not sure if it should be of this type since it got the weight member that i dont need it here
	//Create a back connection between this layer and the pbackLayer
	bool MakeConnection(CLayer* pbackLayer);
	//Compute the output of each node in the layer
	void ComputeLayer(void);
	// Reset errors for all the nodes inside the layer
	void ResetError(void);
	// Back Progapagate error on each node of the layer
	void backPropagateError(void) const;
	// Connects the elements of layer to a node (usually the threshold node)
	void MakeConnection(CNode* ThresholdNode);
	// Correct weights after backpropagating (batch mode)
	void CorrectWeights(void);
	// Returns the number of nodes inside this layer
	int GetNodeNumber(void);
private:
	// The total number of nodes inside this layer
	int nNodeNumber;
protected:
	// Returns the weights for the node contained in this layer
	int GetWeights(real **reWeights) const;
	// Same as GetWeights(real**) but with more params in it (to resume learning later)
	int GetWeights(WeightStruct** NodeParams) const;
};

#endif