pr_unit.h

神经网络的结构实现

/*
	filename: PR_unit.h
	function: define the PR_unit class

  @copyright
	date	: 2008-12-25
	author  : loop111
	e-mail  : [e-mail]
*/
#ifndef PR_UNIT_H
#define PR_UNIT_H

#include<vector>
#include<iostream>
using std::vector;
using std::cout;

enum Distance_type{EUCLIDEAN,MAHALANOBIS,HAMMING,LEVENSHTEIN,CHEBYSHEV,MINKOWAKI,TANIMOTO};

class PR_unit
{
public:
	vector<double> unit;
	int	numcluster;				//the number of cluster the unit belong to
	
	vector<double> dest;				//the destination of the input sample
	double error;

	PR_unit(){}
	PR_unit(int n,double value=0)
	{
		for(int i=0;i<n;i++)
		{
			unit.push_back(value);
		}
	}
	
	void Print()
	{
		int i=0;
		for(i=0;i<unit.size();i++)
		{
			cout<<unit[i]<<"  ";
		}
		cout<<" -> ";
		for(i =0;i<dest.size();i++)
		{
			cout<<dest[i];
		}
	}
	PR_unit& operator*(double);
	PR_unit& operator*=(double);
	PR_unit& operator/(double);
	PR_unit& operator+(PR_unit&);
	PR_unit& operator-(PR_unit&);
	PR_unit& operator+=(PR_unit&);
	double operator[](int i);
};

double distance(PR_unit* unit1,PR_unit* unit2,Distance_type type=EUCLIDEAN);	//calculate the distance of two vector
double vector_multiplication(PR_unit* unit1,PR_unit* unit2,int type=0);			//calculate the multiplication of two vector

#endif