samples.h

经网络提出了一种基于蚁群聚类算法的径向基神经网络. 利用蚁群算法的并行寻优特征和挥发系数方法的自适应更改信息量的能力,并以球面聚类的方式确定了径向基神经网络中基函数的位置, 同时通过比较隐层神经元的相

/* $Id: samples.h,v 1.2 2006-08-09 15:20:54 jonathan Exp $
* Jonathan Ledlie, Harvard University.
* Copyright 2005.  All rights reserved.
*/

#ifndef SAMPLES_H
#define SAMPLES_H

#include <deque>
#include "point.h"

extern int PING_HISTORY_COUNT;
extern double PING_SAMPLE_PERCENTILE;
extern int MIN_HISTORY_COUNT;

class Samples
{
	friend ostream& operator << (ostream& os, Samples *s);
public:
	double ewma;
	//double previousSample;
	int jitterCount;
	int stamp;
	double weightedError;
	Point *vec;
	Point *appVector;
	deque<double> samples;
	Samples();
	~Samples();
	double getSample ();
	void addSample (double sample, int myId, int yourId, 
		Point *yourCoord, double yourWeightedError,
		Point *yourAppCoord, int stamp);
	void print ();
};


#endif