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ann.cpp
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ann.cpp
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/*
Author : Dhruv Patel
Digit Classifier in C++
*/
#include<bits/stdc++.h>
using namespace std;
#define NUMPAT 70
#define NUMIN 50
#define NUMHID 15
#define NUMOUT 10
#define rando() ((double)rand()/((double)RAND_MAX+1))
#define RAND_FLOAT ((double) rand() / RAND_MAX) * (0.5-(-0.5)) + (-0.5)
#define test (mans[i][j]==1||mans[i][j+2]==1||mans[i][j+3]==1||mans[i][j+4]==1||mans[i][j+5]==1||mans[i][j+6]==1||mans[i][j+9]==1)
double sigmoid(double x)
{
return 1.0/(1.0 + exp(-x));
}
double sigmoid_d(double x)
{
return x*(1-x);
}
int main()
{
int i,j,k,p,np,op,ranpat[NUMPAT+1],epoch;
int NumPattern=NUMPAT,NumInput=NUMIN,NumHidden=NUMHID,NumOutput=NUMOUT;
double Input[NUMPAT+1][NUMIN+1] = {
{7,7,7,7,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,7,7,7,7},
{0,0,0,0,0,0,7,7,7,0,0,7,0,7,0,0,7,0,7,0,0,7,0,7,0,0,7,0,7,0,0,7,0,7,0,0,7,0,7,0,0,7,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,0,0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,0,0,0,7,7,7,0,7,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,7,0,7,7,7,0,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,0,7,7,7,0,0,7,0,0,7,0,7,0,0,0,7,7,0,0,0,7,0,7,0,0,7,0,0,7,7,7,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,7,0,0,0,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,7,0,0,0,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,7,7,7,7,7,0,0,0,0,0},
{0,0,0,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,7,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,7,7,0,0,7,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,7,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,7,7,0,0,7,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,7,7,7,7,7,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,0,0,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,7,7,7,0,7,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,7,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0},
{0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,7,7,7,7,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,7,7,7,0,7,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,7,7,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,7,7,0,0,7,0,7,0,0,0,0,7,0,0,0,7,0,0,7,7,0,0,0,7,7,7,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,7,0,0,0,7,0,7,0,0,0,0,7,0,0,0,7,0,0,7,7,0,0,0,7,7,0,0,0,0,0,7,7,0,0,0,0,0,7,0,0,0,0,0},
{0,0,0,0,0,0,0,7,0,0,0,7,0,7,0,7,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,7,7,7,7,0,0,0,0,0},
{0,0,0,0,0,0,0,7,0,0,0,7,0,7,0,0,0,0,7,0,0,0,7,0,0,7,7,0,0,0,7,7,0,0,0,0,0,7,7,7,0,0,0,0,0,0,0,0,0,0},
{7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,7},
{0,0,0,0,0,0,0,7,7,0,0,7,0,0,7,0,0,0,0,7,0,0,7,7,7,0,0,0,0,7,0,0,0,0,7,0,7,0,0,7,0,0,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,7,7,7,0,7,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,0,7,0,0,0,0,0,7,7,0,0,0,7,0,7,7,7,0},
{7,7,7,7,7,7,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,0,0,0,7,7,7,7,7,7},
{0,7,7,7,0,7,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,7,7,0,0,0,7,7,0,0,0,0,0,7,0,0,0,0,7,7,0,0,0,7,0,7,7,7,0},
{0,0,7,7,0,0,7,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,7,7,7,0,0,0,0,7,0,0,0,0,7,0,7,0,0,7,0,0,7,7,7,0,0,0,0,0},
{0,0,7,0,0,0,7,0,7,0,7,0,0,7,0,0,0,7,0,0,0,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0},
{7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7},
{0,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,7,0,7,0,0,7,0,0,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,7,7,0,0,7,0,7,0,7,0,0,7,7,0,0,0,7,7,0,0,0,7,7,7,7,7.7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0},
{0,0,0,0,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,7,0,0,7,0,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,7,0,0,0,7,7,0,0,7,0,7,0,7,0,0,7,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,0,7,0,0,0,7,0,7,0,0,7,0,7,0,0,7,0,0,7,7,0,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0},
{7,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,7},
{7,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,0,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,7,7,7,7,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,7,7,7,0,0,0,0,0,0,0,0,0,0,0},
{7,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,0,0,0,0,0,7,0,0,0,0,7,0,7,7,7,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,7,7,7,7,0,7,0,0,0,0,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,7,7,7,7,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0,7,7,7,7,0,0,0,0,7,0,7,7,7,7,0,0,0,0,0,0,0,0,0,0},
{7,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0,7,7,7,0,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,0},
{7,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,7,7,7,7},
{0,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,0},
{0,0,7,7,0,0,7,0,0,7,0,7,0,0,7,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,0,0,0,0,0,0},
{0,7,7,7,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,0,7,7,7,0,7,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,7,7,0,7,7,0,0,7,0,7,0,0,7,0,0,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,7,7,7,0,7,0,0,0,7,7,0,0,0,7,0,7,0,7,0,0,0,7,0,0},
{0,0,0,0,0,0,7,7,7,0,7,0,0,0,7,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,7,0,0,0,7,0,7,0,0,7,0,0,7,7,0,0,0,0,0,0},
{7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7},
{7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7},
{7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,7,7,7,7,7,0,0,7,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,0},
{7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,0,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,0,0,0,0,0},
{0,0,7,7,7,0,7,0,0,7,7,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0},
{0,0,7,7,7,7,7,0,0,7,0,0,0,0,7,0,0,0,7,0,7,7,7,7,7,0,0,0,7,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0},
{7,7,7,7,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,7,7,7,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,7,7,7,7},
{0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,0,0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,0},
{0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,0},
{0,0,7,0,0,0,7,0,7,0,7,0,0,0,7,7,0,0,0,7,0,7,0,7,0,0,0,7,0,0,0,7,7,0,0,7,0,0,7,0,7,0,0,0,7,0,7,7,7,0},
{0,0,0,0,0,0,0,7,0,7,0,7,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,7,0,0,7,7,0,0},
{0,0,0,0,0,0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,0,7,0,7,0,0,7,0,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,0},
{0,0,0,0,0,0,0,7,7,7,0,7,0,0,7,0,7,0,0,7,0,7,7,7,7,0,7,0,0,7,0,7,0,0,7,0,7,7,7,0,0,0,0,0,0,0,0,0,0,0},
{7,7,7,7,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,7},
{0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,7,0,0,0,0,7,0,0,0,0,7,7,0,0,0,7,0,7,7,7,0,0,0,0,0,0},
{0,0,7,7,0,0,7,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,7,0,0,0,0,7,0,0,0,0,7,7,0,0,0,7,0,7,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,0,7,7,7,7,0,0,0,0,7,0,0,0,0,7,7,0,0,0,7,0,7,7,7,0,0,0,0,0,0},
{0,0,7,0,0,0,7,0,7,0,7,0,0,0,7,7,0,0,0,7,0,7,0,0,7,0,0,7,7,7,0,0,0,0,7,7,0,0,0,7,0,7,0,7,0,0,0,7,0,0},
{0,0,0,0,0,0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7},
{0,0,0,0,0,0,0,0,0,0,0,0,7,7,0,0,7,0,0,7,0,7,0,0,7,0,0,7,7,7,0,0,0,0,7,0,0,0,7,0,7,7,7,0,0,0,0,0,0,0}};
double Target[NUMPAT+1][NUMOUT+1]={
{1,0,0,0,0,0,0,0,0,0},
{1,0,0,0,0,0,0,0,0,0},
{1,0,0,0,0,0,0,0,0,0},
{1,0,0,0,0,0,0,0,0,0},
{1,0,0,0,0,0,0,0,0,0},
{1,0,0,0,0,0,0,0,0,0},
{1,0,0,0,0,0,0,0,0,0},
{0,1,0,0,0,0,0,0,0,0},
{0,1,0,0,0,0,0,0,0,0},
{0,1,0,0,0,0,0,0,0,0},
{0,1,0,0,0,0,0,0,0,0},
{0,1,0,0,0,0,0,0,0,0},
{0,1,0,0,0,0,0,0,0,0},
{0,1,0,0,0,0,0,0,0,0},
{0,0,1,0,0,0,0,0,0,0},
{0,0,1,0,0,0,0,0,0,0},
{0,0,1,0,0,0,0,0,0,0},
{0,0,1,0,0,0,0,0,0,0},
{0,0,1,0,0,0,0,0,0,0},
{0,0,1,0,0,0,0,0,0,0},
{0,0,1,0,0,0,0,0,0,0},
{0,0,0,1,0,0,0,0,0,0},
{0,0,0,1,0,0,0,0,0,0},
{0,0,0,1,0,0,0,0,0,0},
{0,0,0,1,0,0,0,0,0,0},
{0,0,0,1,0,0,0,0,0,0},
{0,0,0,1,0,0,0,0,0,0},
{0,0,0,1,0,0,0,0,0,0},
{0,0,0,0,1,0,0,0,0,0},
{0,0,0,0,1,0,0,0,0,0},
{0,0,0,0,1,0,0,0,0,0},
{0,0,0,0,1,0,0,0,0,0},
{0,0,0,0,1,0,0,0,0,0},
{0,0,0,0,1,0,0,0,0,0},
{0,0,0,0,1,0,0,0,0,0},
{0,0,0,0,0,1,0,0,0,0},
{0,0,0,0,0,1,0,0,0,0},
{0,0,0,0,0,1,0,0,0,0},
{0,0,0,0,0,1,0,0,0,0},
{0,0,0,0,0,1,0,0,0,0},
{0,0,0,0,0,1,0,0,0,0},
{0,0,0,0,0,1,0,0,0,0},
{0,0,0,0,0,0,1,0,0,0},
{0,0,0,0,0,0,1,0,0,0},
{0,0,0,0,0,0,1,0,0,0},
{0,0,0,0,0,0,1,0,0,0},
{0,0,0,0,0,0,1,0,0,0},
{0,0,0,0,0,0,1,0,0,0},
{0,0,0,0,0,0,1,0,0,0},
{0,0,0,0,0,0,0,1,0,0},
{0,0,0,0,0,0,0,1,0,0},
{0,0,0,0,0,0,0,1,0,0},
{0,0,0,0,0,0,0,1,0,0},
{0,0,0,0,0,0,0,1,0,0},
{0,0,0,0,0,0,0,1,0,0},
{0,0,0,0,0,0,0,1,0,0},
{0,0,0,0,0,0,0,0,1,0},
{0,0,0,0,0,0,0,0,1,0},
{0,0,0,0,0,0,0,0,1,0},
{0,0,0,0,0,0,0,0,1,0},
{0,0,0,0,0,0,0,0,1,0},
{0,0,0,0,0,0,0,0,1,0},
{0,0,0,0,0,0,0,0,1,0},
{0,0,0,0,0,0,0,0,0,1},
{0,0,0,0,0,0,0,0,0,1},
{0,0,0,0,0,0,0,0,0,1},
{0,0,0,0,0,0,0,0,0,1},
{0,0,0,0,0,0,0,0,0,1},
{0,0,0,0,0,0,0,0,0,1},
{0,0,0,0,0,0,0,0,0,1}};
double TEST[30][50]={
{0,0,0,0,0,0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,0,0,7,7,7,0,7,7,0,7,7,7,0,0,7,7,7,0,0,7,7,7,7,0,7,7,0,7,7,7,0,0,0,0,0,0,0,0,0,0,0},
{0,7,7,7,0,7,7,0,7,7,7,7,0,7,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,0,0,0,7,7,7,0,7,7,0,7,7,7,0},
{0,0,0,0,0,0,0,7,7,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,7,7,0,0,0,0,0,0,0},
{0,0,0,0,0,7,0,0,0,0,0,7,0,0,0,0,7,7,0,0,0,7,7,0,0,0,0,7,7,0,0,0,0,7,0,0,0,0,7,7,0,0,0,0,7,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,7,0,0,0,7,7,0,0,7,7,0,0,0,7,7,0,0,7,7,0,0,0,7,7,0,0,7,7,0,0,0,7,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,7,0,0,0,7,0,7,0,7,0,0,0,7,0,0,0,7,0,7,7,7,0,0,7,7,0,0,7,0,0,7,7,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,7,0,7,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,7,7,7,7,0,0,0,0,0,0,0,0,0,0},
{7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7},
{0,0,7,7,0,0,7,0,0,7,7,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,0,7,0,0,0,0,0,7,0,0,0,7,0,0,7,7,0,0,0,0,0,0,0},
{7,7,7,7,7,0,0,0,7,0,0,0,7,0,0,0,7,7,0,0,0,0,0,7,0,0,0,0,0,7,0,7,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,7,7,7,0,7,0,0,0,7,0,0,0,0,7,0,0,7,7,0,0,0,0,0,7,7,0,0,0,7,0,7,7,7,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,0,7,0,0,7,0,0,7,0,0,7,0,7,0,0,7,0,0,7,7,0,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,7,0,0,7,0,7,7,7,0,0,0,7,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,7,0,0,7,0,7,0,7,0,0,7,7,0,0,0,7,7,0,0,0,7,7,7,7,7.7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0},
{0,0,0,0,0,0,7,7,7,0,0,7,0,0,0,0,7,0,0,0,0,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,7,7,7,0,0,0,0,0,0,0,0,0,0,0},
{0,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0,7,7,7,7,0,0,0,0,7,0,0,0,0,7,7,7,7,7,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,0,7,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,0,7,7,7,0,0,0,0,0,7,0,0,0,0,7,7,7,7,7,0},
{0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,7,7,0,7,0,0,0,7,0,0,0,0,7,0,7,7,7,7,7,0,0,7,0,7,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,7,0,7,7,7,7,7,0,0,7,7,0,0,0,7,0,7,7,7,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,7,7,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,7,0,7,7,7,7,7,0,0,7,7,0,0,0,7,0,7,7,7,0,0,0,0,0,0},
{0,7,7,7,7,7,0,0,7,7,7,0,0,7,0,0,0,7,7,0,0,0,7,0,0,0,0,7,0,0,0,7,7,0,0,7,0,0,0,0,7,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,7,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,7,7,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,7,7,7,7,7,0,0,0,0,7,0,0,0,7,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,0,0,0,0,0,0,0},
{0,0,7,7,0,0,7,0,0,0,7,0,0,0,0,7,0,0,0,7,0,7,0,7,0,0,0,7,0,0,0,7,0,7,0,7,0,0,0,7,0,7,0,7,0,0,0,7,0,0},
{0,0,0,0,0,0,7,7,0,0,7,0,0,0,0,7,0,0,0,7,7,0,0,7,0,7,7,7,0,0,0,7,7,0,0,7,0,0,7,0,7,0,0,0,7,0,7,7,7,0},
{0,0,0,0,0,0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,0,7,0,7,0,0,7,7,7,0,7,0,0,0,7,7,0,0,0,7,7,0,0,7,0,0,7,7,0,0},
{0,0,0,0,0,0,0,0,0,0,0,0,7,7,0,0,7,0,0,7,0,7,0,0,7,0,0,7,7,7,7,0,0,0,7,0,7,0,7,0,0,0,7,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,7,7,0,0,7,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,7,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,7,0,0,7,7,0,0},
{0,0,7,7,0,0,7,0,0,7,7,0,0,0,7,7,0,0,0,7,0,7,0,7,0,0,0,7,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0,0,0,0,7,0}};
double SumH[NUMPAT+1][NUMHID+1];
double WeightIH[NUMIN+1][NUMHID+1];
double Hidden[NUMPAT+1][NUMHID+1];
double SumO[NUMPAT+1][NUMOUT+1];
double WeightHO[NUMHID+1][NUMOUT+1];
double Output[NUMPAT+1][NUMOUT+1];
double DeltaO[NUMOUT+1];
double SumDOW[NUMHID+1];
double DeltaH[NUMHID+1];
double DeltaWeightIH[NUMIN+1][NUMHID+1];
double DeltaWeightHO[NUMHID+1][NUMOUT+1];
double Error,eta=0.25,alpha=0.25;
// Initialize Weights and Deltas
for( j = 1 ; j <= NumHidden ; j++)
{ for( i = 0 ; i <= NumInput ; i++ )
{
DeltaWeightIH[i][j] = 0.0 ;
WeightIH[i][j] = RAND_FLOAT;
}
}
for( k = 1 ; k <= NumOutput ; k ++ )
{ for( j = 0 ; j <= NumHidden ; j++ ) {
DeltaWeightHO[j][k] = 0.0 ;
WeightHO[j][k] = RAND_FLOAT;
}
}
cout<<"Training Starts!!\n";
//Training Starts in random order!
for( epoch = 0 ; epoch < 10000; epoch++)
{
for( p = 1 ; p <= NumPattern ; p++ )
{
ranpat[p] = p ;
}
for( p = 1 ; p <= NumPattern ; p++)
{
np = p + rando() * ( NumPattern + 1 - p ) ;
op = ranpat[p] ;
ranpat[p] = ranpat[np] ;
ranpat[np] = op ;
}
Error = 0.0 ;
for( np = 1 ; np <= NumPattern ; np++ )
{
p = ranpat[np];
//Feeding Forward (xi*wi)+bi
for( j = 1 ; j <= NumHidden ; j++ )
{
SumH[p][j] = WeightIH[0][j] ;
for( i = 1 ; i <= NumInput ; i++ )
{
SumH[p][j] += Input[p][i] * WeightIH[i][j] ;
}
Hidden[p][j] = sigmoid(SumH[p][j]);
}
for( k = 1 ; k <= NumOutput ; k++ )
{
SumO[p][k] = WeightHO[0][k] ;
for( j = 1 ; j <= NumHidden ; j++ )
{
SumO[p][k] += Hidden[p][j] * WeightHO[j][k] ;
}
Output[p][k] = sigmoid(SumO[p][k]) ;
Error += 0.5 * (Target[p][k] - Output[p][k]) * (Target[p][k] - Output[p][k]);
DeltaO[k] =(Target[p][k] - Output[p][k]) * sigmoid_d(Output[p][k]);
}
//Feeding Backward
for( j = 1 ; j <= NumHidden ; j++ )
{
SumDOW[j] = 0.0 ;
for( k = 1 ; k <= NumOutput ; k++ )
{
SumDOW[j] += WeightHO[j][k] * DeltaO[k] ;
}
DeltaH[j] = SumDOW[j] * sigmoid_d(Hidden[p][j]) ;
}
//Upadating Weights and Delta
for( j = 1 ; j <= NumHidden ; j++ )
{
DeltaWeightIH[0][j] = eta* DeltaH[j] + alpha * DeltaWeightIH[0][j] ;
WeightIH[0][j] += DeltaWeightIH[0][j] ;
for( i = 1 ; i <= NumInput ; i++ )
{
DeltaWeightIH[i][j] = eta* Input[p][i] * DeltaH[j] + alpha * DeltaWeightIH[i][j];
WeightIH[i][j] += DeltaWeightIH[i][j] ;
}
}
for( k = 1 ; k <= NumOutput ; k ++ )
{
DeltaWeightHO[0][k] = eta* DeltaH[k] + alpha * DeltaWeightIH[0][k] ;
Hidden[p][j] = eta* DeltaO[k] + alpha * DeltaWeightHO[0][k] ;
WeightHO[0][k] += DeltaWeightHO[0][k] ;
for( j = 1 ; j <= NumHidden ; j++ )
{
DeltaWeightHO[j][k] = eta*Hidden[p][j] * DeltaO[k] + alpha * DeltaWeightHO[j][k] ;
WeightHO[j][k] += DeltaWeightHO[j][k] ;
}
}
}
if(epoch%1000==0)
cout<<"Epoch = "<<epoch/1000<<" "<<"Error = "<<Error<<endl;
if( Error < 0.0004 )
{
break ;
}
}
cout<<"Testing Starts!!\n";
// fprintf(stdout, "\n\nNETWORK DATA - EPOCH %d\n\nPat\t", epoch) ; /* print network outputs */
// for( i = 1 ; i <= NumInput ; i++ ) {
// fprintf(stdout, "Input%-4d\t", i) ;
// }
// for( k = 1 ; k <= NumOutput ; k++ ) {
// fprintf(stdout, "Target%-4d\tOutput%-4d\t", k, k) ;
// }
// for( p = 1 ; p <= NumPattern ; p++ ) {
// fprintf(stdout, "\n%d\t", p) ;
// for( i = 1 ; i <= NumInput ; i++ ) {
// fprintf(stdout, "%f\t", Input[p][i]) ;
// }
// for( k = 1 ; k <= NumOutput ; k++ ) {
// fprintf(stdout, "%f\t%f\t", Target[p][k], Output[p][k]) ;
// }
// }
// for(int i=1;i<=NUMIN;i++)
// {
// for(int j=1;j<=NUMHID;j++)
// {
// cout<<WeightIH[i][j]<<" ";
// }
// cout<<endl;
// }
// for(int j=1;j<=NUMHID;j++)
// {
// for(int k=1;k<=NUMOUT;k++)
// {
// cout<<WeightIH[j][k]<<" ";
// }
// cout<<endl;
// }
int TS=70;
double x2[TS][NUMHID];
for(int i=1;i<=TS;i++)
{
for(int j=1;j<=NUMHID;j++)
{
for(int k=1;k<=NUMIN;k++)
{
x2[i][j]+=(Input[i][k]*WeightIH[k][j]);
}
}
}
double ans[TS][10];
for(int p=1;p<=TS;p++)
{
for(int k=1;k<=10;k++)
{
ans[p][k]=0.0;
for(int j=1;j<=NUMHID;j++)
{
ans[p][k]+=(x2[p][j] * WeightHO[j][k]);
}
}
}
cout<<"Testing Ends"<<endl;
//Printing Ans Matrix
// for(int i=1;i<=TS;i++)
// {
// for(int j=1;j<=NUMOUT;j++)
// {
// cout<<ans[i][j]<<" ";
// }
// cout<<endl;
// }
// cout<<endl;
int tmp[10];
int mans[TS][10];
int m=INT_MIN,pos;
for(int i=1;i<=TS;i++)
{
m=INT_MIN,pos=0;
for(int j=1;j<=10;j++)
{
if(ans[i][j]>m)
{
m=ans[i][j];
pos=j;
}
}
for(int g=1;g<=10;g++)
{
if(g==pos)
{
mans[i][g]=1;
}
else
{
mans[i][g]=0;
}
}
}
// Printing the Output Matrix
// for(int i=1;i<=TS;i++)
// {
// for(int j=1;j<=10;j++)
// {
// cout<<mans[i][j]<<" ";
// }
// cout<<endl;
// if(i%(TS/10)==0)
// cout<<endl;
// }
int cnt=0;
k=0;
for(int i=1,j=1;i<=TS;i++)
{
if(test)
{
cnt++;
}
if(i%(TS/10)==0)
j++;
}
cout<<"Accuracy = "<<round(((double)cnt/TS)*100)<<" % "<<" and error is "<<Error<<endl;
return 0;
}