import?java.io.File;
import?java.util.ArrayList;
import?java.util.List;
import?java.util.Random;

/*
?*?創(chuàng)建日期?2015-04-12
?*
?*?三層BP神經(jīng)網(wǎng)絡(luò)，輸入，輸出，隱含層數(shù)量可以設(shè)定
?*?輸入層數(shù)量?InputNum?隱含層數(shù)量?MiddleNum?輸出層數(shù)量?OutputNum?
?*?
?*?總程序入口為：public?void?TrainBP（String?inputFileName?String?outputFileName?int?fNum?MainNN?bpnn）
?*?TrainBPByADCQGA?和?BPRunByADCQGA?為兩種訓(xùn)練學(xué)習(xí)方式?？梢苑謩e調(diào)用
?*?
?*?@author?Hap?Kong
?*/


public?class?MainNN?{
	
	//*****************變量定義********???i對應(yīng)輸入層的索引，j對應(yīng)隱含層的索引，k對應(yīng)輸出層的索引???********//
	public??int?InputNum=3MiddleNum=4OutputNum=1;?????????????????//輸入層，隱含層，輸出層神經(jīng)元數(shù)量
	public??double?arf=0.8land=0.25thita=0.6;??????????????????????//thita?閾值?land學(xué)習(xí)因子?arf動量因子
	public??double?wji[][]=new?double[MiddleNum][];?????????????????//輸入層到中間隱含層的權(quán)重
	public??double?wji_b[][]=new?double[MiddleNum][];???????????????//輸入層到中間隱含層的權(quán)重（上次值）
	public??double?wkj[][]=new?double[OutputNum][];?????????????????//中間隱含層到輸出層的權(quán)重
	public??double?wkj_b[][]=new?double[OutputNum][];???????????????//中間隱含層到輸出層的權(quán)重（上次值）
	public??double?xigk[]=new?double[OutputNum];???????????????????//神經(jīng)元輸出對輸入的導(dǎo)數(shù)
	public??double?xigj[]=new?double[MiddleNum];???????????????????//神經(jīng)元中間層對輸入的導(dǎo)數(shù)
	public??double?aj[]=new?double[MiddleNum];?????????????????????//隱含層神經(jīng)元的輸出
	public??double?ak[]=new?double[OutputNum];?????????????????????//輸出層神經(jīng)元的輸出
	
	List?inputName?=?new?ArrayList（）;??????????????//訓(xùn)練數(shù)據(jù)?自變量的名稱
	List?outputName?=?new?ArrayList（）;?????????????//訓(xùn)練數(shù)據(jù)?輸出變量的名稱
	List?inputData?=?new?ArrayList（）;??????????//訓(xùn)練數(shù)據(jù)?自變量的數(shù)據(jù)
	List?outputData?=?new?ArrayList（）;?????????//訓(xùn)練數(shù)據(jù)?輸出變量的數(shù)據(jù)
	
	public?int?fuzzyNum?=?0;???????????????????????????????????????//輸入為隸屬度網(wǎng)絡(luò)的個數(shù)；BP主神經(jīng)網(wǎng)絡(luò)的前fuzzyNum個位隸屬度輸入
	public?double[]?fuzzyobjectiveOutput;??????????????????????????//隸屬度網(wǎng)絡(luò)的期望輸出，即所優(yōu)化的輸入
	public?List?msnnList?=?new?ArrayList（）;????????????//存儲隸屬度網(wǎng)絡(luò)
	
	public?int?MaxTrainNum?=?100000;
	public?double?deltaMSNNOutputRange?=?0.050;?????????????????????//MSNN輸出的調(diào)整范圍
	
	/////********************************初始化神經(jīng)網(wǎng)絡(luò)**************************************////
	public?void?InitializeBPNNWithTrainFile（String?inputFileName?String?outputFileName）
	{
		this.InputNum?=?ReadInputTrainDataFromFile（inputFileName）;
		this.MiddleNum?=?this.InputNum+1;
		this.OutputNum?=?ReadOutputTrainDataFromFile（outputFileName）;
		this.wji?=new?double[MiddleNum][];?????????????????//輸入層到中間隱含層的權(quán)重
		this.wji_b?=new?double[MiddleNum][];???????????????//輸入層到中間隱含層的權(quán)重（上次值）
		this.wkj?=new?double[OutputNum][];?????????????????//中間隱含層到輸出層的權(quán)重
		this.wkj_b?=new?double[OutputNum][];???????????????//中間隱含層到輸出層的權(quán)重（上次值）
		this.xigk?=new?double[OutputNum];???????????????????//神經(jīng)元輸出對輸入的導(dǎo)數(shù)
		this.xigj?=new?double[MiddleNum];???????????????????//神經(jīng)元中間層對輸入的導(dǎo)數(shù)
		this.aj?=new?double[MiddleNum];?????????????????????//隱含層神經(jīng)元的輸出
		this.ak?=new?double[OutputNum];?????????????????????//輸出層神經(jīng)元的輸出
		this.InitializeWeight（）;
		msnnList.clear（）;
	}

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件???????3309??2015-05-01?09:31??TestSAMMNN.java

?????文件??????40001??2015-05-01?09:41??MainNN.java

?????文件??????31819??2015-04-30?19:53??MSNN.java

-----------?---------??----------?-----??----

????????????????75129????????????????????3