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神经网络BP算法(vC++程序)
文件输入输出目录为:F:\BP\
训练样本文件名:训练样本.txt
值为:
输出文件名为:阈值.txt 权值.txt
=========================
- #include "stdlib.h"
- #include "math.h"
- #include "conio.h"
- #include "stdio.h"
- #define N 2 /*/学习样本个数*/
- #define IN 3 /*/输入层神经元数目*/
- #define HN 3 /*/隐层神经元数目*/
- #define ON 2 /*/输出层神经元数目*/
- #define Z 20 /*/旧权值保存-》每次study的权值都保存下来*/
- double P[IN]; /*/单个样本输入数据*/
- double T[ON]; /*/单个样本教师数据*/
- double W[HN][IN]; /*/输入层至隐层权值*/
- double V[ON][HN]; /*/隐层至输出层权值*/
- double X[HN]; /*/隐层的输入*/
- double Y[ON]; /*/输出层的输入*/
- double H[HN]; /*/隐层的输出*/
- double O[ON]; /*/输出层的输出*/
- double YU_HN[HN]; /*/隐层的阈值*/
- double YU_ON[ON]; /*/输出层的阈值*/
- double err_m[N]; /*/第m个样本的总误差*/
- double a; /*/输出层至隐层的学习效率*/
- double b; /*/隐层至输入层学习效率*/
- double alpha; /*/动量因子,改进型bp算法使用*/
- double d_err[ON];
- FILE *fp;
- /*定义一个放学习样本的结构*/
- struct {
- double input[IN];
- double teach[ON];
- }Study_Data[N];
- /*改进型bp算法用来保存每次计算的权值*/
- struct {
- double old_W[HN][IN];
- double old_V[ON][HN];
- }Old_WV[Z];
- int Start_Show()
- {
- clrscr();
- printf("\n ***********************\n");
- printf(" * Welcome to use *\n");
- printf(" * this program of *\n");
- printf(" * calculating the BP *\n");
- printf(" * model! *\n");
- printf(" * Happy every day! *\n");
- printf(" ***********************\n");
- printf("\n\nBefore starting,please read the follows carefully:\n\n");
- printf(" 1.Please ensure the Path of the '训练样本.txt'(xunlianyangben.txt) is \ncorrect,like 'F:\BP\训练样本.txt'!\n");
- printf(" 2.The calculating results will be saved in the Path of 'F:\\BP\\'!\n");
- printf(" 3.The program will load 10 datas when running from 'F:\\BP\\训练样本.txt'!\n");
- printf(" 4.The program of BP can study itself for no more than 30000 times.\nAnd surpassing the number,the program will be ended by itself in\npreventing running infinitely because of error!\n");
- printf("\n\n\n");
- printf("Now press any key to start...\n");
- getch();
- getch();
- clrscr();
- }
- int End_Show()
- {
- printf("\n\n---------------------------------------------------\n");
- printf("The program has reached the end successfully!\n\nPress any key to exit!\n\n");
- printf("\n ***********************\n");
- printf(" * This is the end *\n");
- printf(" * of the program which*\n");
- printf(" * can calculate the BP*\n");
- printf(" * model! *\n");
- printf(" ***********************\n");
- printf(" * Thanks for using! *\n");
- printf(" * Happy every day! *\n");
- printf(" ***********************\n");
- getch();
- exit(0);
- }
- GetTrainingData() /*OK*/
- { int m,i,j;
- int datr;
- if((fp=fopen("f:\\bp\\训练样本.txt","r"))==NULL) /*读取训练样本*/
- {
- printf("Cannot open file strike any key exit!");
- getch();
- exit(1);
- }
- m=0;
- i=0;
- j=0;
- while(fscanf(fp,"%d",&datr)!=EOF)
- {j++;
- if(j<=(N*IN))
- {if(i {
- Study_Data[m].input[i]=datr;
- /*printf("\nthe Study_Datat[%d].input[%d]=%f\n",m,i,Study_Data[m].input[i]);getch();*/ /*use to check the loaded training datas*/
- }
- if(m==(N-1)&&i==(IN-1))
- {
- m=0;
- i=-1;
- }
- if(i==(IN-1))
- {
- m++;
- i=-1;
- }
- }
- else if((N*IN) {if(i {Study_Data[m].teach[i]=datr;
- /*printf("\nThe Study_Data[%d].teach[%d]=%f",m,i,Study_Data[m].teach[i]);getch();*/ /*use to check the loaded training datas*/
- }
- if(m==(N-1)&&i==(ON-1))
- printf("\n");
- if(i==(ON-1))
- {m++;
- i=-1;
- }
- }
- i++;
- }
- fclose(fp);
- printf("\nThere are [%d] datats that have been loaded successfully!\n",j);
- /*show the data which has been loaded!*/
- printf("\nShow the data which has been loaded as follows:\n");
- for(m=0;m {for(i=0;i {printf("\nStudy_Data[%d].input[%d]=%f",m,i,Study_Data[m].input[i]);
- }
- for(j=0;j {printf("\nStudy_Data[%d].teach[%d]=%f",m,j,Study_Data[m].teach[j]);
- }
- }
- printf("\n\nPress any key to start calculating...");
- getch();
- return 1;
- }
- /*///////////////////////////////////*/
- /*初始化权、阈值子程序*/
- /*///////////////////////////////////*/
- initial()
- {int i;
- int ii;
- int j;
- int jj;
- int k;
- int kk;
- /*隐层权、阈值初始化*/
- for(i=0;i {
- for(j=1;j {W[i][j]=(double)((rand()/32767.0)*2-1); /*初始化输入层到隐层的权值,随机模拟0 和 1 -1 */
- printf("w[%d][%d]=%f\n",i,j,W[i][j]);
- }
- }
- for(ii=0;ii {
- for(jj=0;jj {V[ii][jj]= (double)((rand()/32767.0)*2-1); /*初始化隐层到输出层的权值,随机模拟0 和 1 -1*/
- printf("V[%d][%d]=%f\n",ii,jj,V[ii][jj]);
- }
- }
- for(k=0;k {
- YU_HN[k] = (double)((rand()/32767.0)*2-1); /*隐层阈值初始化 ,-0.01 ~ 0.01 之间*/
- printf("YU_HN[%d]=%f\n",k,YU_HN[k]);
- }
- for(kk=0;kk {
- YU_ON[kk] = (double)((rand()/32767.0)*2-1); /*输出层阈值初始化 ,-0.01 ~ 0.01 之间*/
- }
- return 1;
- }/*子程序initial()结束*/
- /*//////////////////////////////////////////*/
- /*第m个学习样本输入子程序*/
- /*/////////////////////////////////////////*/
- input_P(int m)
- { int i,j;
- for(i=0;i {P[i]=Study_Data[m].input[i];
- printf("P[%d]=%f\n",i,P[i]);
- }
- /*获得第m个样本的数据*/
- return 1;
- }/*子程序input_P(m)结束*/
- /*/////////////////////////////////////////*/
- /*第m个样本教师信号子程序*/
- /*/////////////////////////////////////////*/
- input_T(int m)
- {int k;
- for(k=0;k T[k]=Study_Data[m].teach[k];
- return 1;
- }/*子程序input_T(m)结束*/
- H_I_O()
- {
- double sigma;
- int i,j;
- for(j=0;j {
- sigma=0;
- for(i=0;i {sigma+=W[j][i]*P[i];/*求隐层内积*/
- }
- X[j]=sigma-YU_HN[i];/*求隐层净输入,为什么减隐层的阀值*/
- H[j]=1.0/(1.0+exp(-X[j]));/*求隐层输出 siglon算法*/
- }
- return 1;
- }/*子程序H_I_O()结束*/
- O_I_O()
- {int k;
- int j;
- double sigma;
- for(k=0;k {
- sigma=0.0;
- for(j=0;j {
- sigma+=V[k][j]*H[k];
- }
- Y[k]=sigma-YU_ON[k];
- O[k]=1.0/(1.0+exp(-Y[k]));
- }
- return 1;
- }
- int Err_O_H(int m)
- {int k;
- double abs_err[ON];
- double sqr_err=0;
- for (k=0;k {
- abs_err[k]=T[k]-O[k];
- sqr_err+=(abs_err[k])*(abs_err[k]);
- d_err[k]=abs_err[k]*O[k]*(1.0-O[k]);
- err_m[m]=sqr_err/2;
- }
- return 1;
- }
- double e_err[HN];
- int Err_H_I()
- {
- int j,k;
- double sigma;
- for(j=0;j {
- sigma=0.0;
- for(k=0;k {
- sigma=d_err[k]*V[k][j];
- }
- e_err[j]=sigma*H[j]*(1-H[j]);
- }
- return 1;
- }
- saveWV(int m)
- {int i;
- int ii;
- int j;
- int jj;
- for(i=0;i {
- for(j=0;j {
- Old_WV[m].old_W[i][j] = W[i][j];
- }
- }
- for(ii=0;ii {
- for(jj=0;jj {
- Old_WV[m].old_V[ii][jj] = V[ii][jj];
- }
- }
- return 1;
- }
- int Delta_O_H(int n) /*(int m,int n)*/
- {int k,j;
- if(n<1) /*n<=1*/
- {
- for (k=0;k {
- for (j=0;j {
- V[k][j]=V[k][j]+a*d_err[k]*H[j];
- }
- YU_ON[k]+=a*d_err[k];
- }
- }
- else if(n>1)
- {
- for (k=0;k {
- for (j=0;j {
- V[k][j]=V[k][j]+a*d_err[k]*H[j]+alpha*(V[k][j]-Old_WV[(n-1)].old_V[k][j]);
- }
- YU_ON[k]+=a*d_err[k];
- }
- }
- return 1;
- }
- Delta_H_I(int n) /*(int m,int n)*/
- { int i,j;
- if(n<=1) /*n<=1*/
- {
- for (j=0;j {
- for (i=0;i {
- W[j][i]=W[j][i]+b*e_err[j]*P[i];
- }
- YU_HN[j]+=b*e_err[j];
- }
- }
- else if(n>1)
- {
- for(j=0;j {
- for(i=0;i {
- W[j][i]=W[j][i]+b*e_err[j]*P[i]+alpha*(W[j][i]-Old_WV[(n-1)].old_W[j][i]);
- }
- YU_HN[j]+=b*e_err[j];
- }
- }
- return 1;
- }
- double Err_Sum()
- {int m;
- double total_err=0;
- for(m=0;m {
- total_err+=err_m[m];
- }
- return total_err;
- }
- void savequan()
- { int i,j,k;
- int ii,jj,kk;
- if((fp=fopen("f:\\bp\\权值.txt","a"))==NULL) /*save the result at f:\hsz\bpc\*.txt*/
- {
- printf("Cannot open file strike any key exit!");
- getch();
- exit(1);
- }
- fprintf(fp,"Save the result of “权值”(quanzhi) as follows:\n");
- for(i=0;i {
- for(j=0;j fprintf(fp,"W[%d][%d]=%f\n",i,j,W[i][j]);
- }
- fprintf(fp,"\n");
- for(ii=0;ii {
- for(jj=0;jj fprintf(fp,"V[%d][%d]=%f\n",ii,jj,V[ii][jj]);
- }
- fclose(fp);
- printf("\nThe result of “权值.txt”(quanzhi) has been saved successfully!\nPress any key to continue...");
- getch();
- if((fp=fopen("f:\\bp\\阈值.txt","a"))==NULL) /*save the result at f:\hsz\bpc\*/
- {
- printf("Cannot open file strike any key exit!");
- getch();
- exit(1);
- }
- fprintf(fp,"Save the result of “输出层的阈值”(huozhi) as follows:\n");
- for(k=0;k fprintf(fp,"YU_ON[%d]=%f\n",k,YU_ON[k]);
- fprintf(fp,"\nSave the result of “隐层的阈值为”(huozhi) as follows:\n");
- for(kk=0;kk fprintf(fp,"YU_HN[%d]=%f\n",kk,YU_HN[kk]);
- fclose(fp);
- printf("\nThe result of “阈值.txt”(huozhi) has been saved successfully!\nPress any key to continue...");
- getch();
- }
- /**********************/
- /**程序入口,即主程序**/
- /**********************/
- void main()
- {double Pre_error;
- double sum_err;
- int study;
- int flag;
- flag=30000;
- a=0.7;
- b=0.7;
- alpha=0.9;
- study=0;
- Pre_error=0.0001;/*实际值为Pre_error=0.0001;*/
- Start_Show();
- GetTrainingData();
- initial();
- do
- {int m;
- ++study;
- for(m=0;m {
- input_P(m);
- input_T(m);
- H_I_O();
- O_I_O();
- Err_O_H(m);
- Err_H_I();
- saveWV(m); /****************/
- Delta_O_H(m); /*(m,study)*/
- Delta_H_I(m); /*(m,study)*/
- }
- sum_err=Err_Sum();
- printf("sum_err=%f\n",sum_err);
- printf("Pre_error=%f\n\n",Pre_error);
- if(study>flag)
- {
- printf("\n*******************************\n");
- printf("The program is ended by itself because of error!\nThe learning times is surpassed!\n");
- printf("*****************************\n");
- getch();
- break;
- }
- }while (sum_err>Pre_error);
- printf("\n****************\n");
- printf("\nThe program have studyed for [%d] times!\n",study);
- printf("\n****************\n");
- savequan(); /*save the results*/
- End_Show();
- }
复制代码
==========================
权值.txt
- {Save the result of “权值”(quanzhi) as follows:
- W[0][0]=0.350578
- W[0][1]=-1.008697
- W[0][2]=-0.962250
- W[1][0]=0.055661
- W[1][1]=-0.372367
- W[1][2]=-0.890795
- W[2][0]=0.129752
- W[2][1]=-0.332591
- W[2][2]=-0.521561
- V[0][0]=-2.932654
- V[0][1]=-3.720583
- V[0][2]=-2.648183
- V[1][0]=2.938970
- V[1][1]=1.633281
- V[1][2]=1.944077
- }
复制代码
阈值.txt
- {Save the result of “输出层的阈值”(huozhi) as follows:
- YU_ON[0]=-4.226843
- YU_ON[1]=1.501791
- Save the result of “隐层的阈值为”(huozhi) as follows:
- YU_HN[0]=-0.431459
- YU_HN[1]=0.452127
- YU_HN[2]=0.258449
- }
复制代码
==================================
以上程序为VC++的程序改制而成!
[ 本帖最后由 风花雪月 于 2006-11-29 07:53 编辑 ] |
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