Sir i A Santosh Kumar working with Back propagation algorithm could not get the requried output for the matlab code which i have written please correct me in this context so that i can get the output which is shown below

1 view (last 30 days)
clc();
v=[0.197 0.3191 -0.1488 0.3394;0.3099 0.1904 -0.0347 -0.4861];
v1=zeros(2,4);
b1=[-0.3378 0.27781 0.2859 -0.3329];
b2=-0.1401;
w=[0.3919;-0.2913;-0.3979;0.3581];
w1=zeros(4,1);
x=[1 1 0 0;1 0 1 0];
t=[0 1 1 0];
alpha=0.02;
mf=0.9;
con=5385;
epoch=0;
while con>0
e=0;
for I=1:4
for j=1:4
zin=b1;
for i=1:2
zin(j)=zin(j)+x(i,I)*v(i,j);
end
z(j)=1/(1+exp(-zin(j)));
end
z;
for i=1:4
yin=b2+z*w;
end
yin;
y(I)=1/(1+exp(-yin));
for I=1:4
deltak=(t(I)-y(I))*y(I);
end
deltaw=alpha*deltak*z(j)+mf*(w-w1);
deltab2=alpha*deltak;
deltainj=deltak*w;
for j=1:4
deltaj(j,1)=deltainj(j,1)*z(j);
end
for j=1:4
for i=1:2
deltav(i,j)=alpha*deltaj(j,1)*x(i,I)+mf*(v(i,j)-v1(i,j));
end
end
deltav;
deltab1=alpha*deltaj;
w1=w;
v1=v;
w=w+deltaw;
b2=b2+deltab2;
v=v+deltav;
b1=b1+deltab1';
e=e+(t(I)-y(I))^2;
end
con=con-1
epoch=epoch+1;
end
disp('BPN for XOR function with binary input and output');
disp('Final Weight Matrix and Bias');
e
v
b1
w
b2
the output for the above program is
BPN for XOR function with binary input and output Final Weight Matrix and Bias
e =
3.0892e-004
v =
1.9700 3.1910 -1.4880 3.3940
3.0990 1.9040 -0.3470 -4.8610
b1 =
-0.9359 0.9811 0.7207 -0.5950
w =
2.9807
-3.8513
-4.9173
2.6427
b2 =
-0.3955
which is wrong.
The expected out put is
Output
BPN for XOR funtion with Binary Input and Output
Total Epoch Performed
5385
Error
0.0050
Final Weight matrix and bias
v =
4.4164 4.4836 2.6086 4.0386
4.5230 2.1693 1.1147 6.6716
b1 =
0.9262 0.5910 0.6254 -1.0927
w =
6.9573
5.5892
5.2180
7.7782
b2 =
0.3536
  1 Comment
José-Luis
José-Luis on 5 Feb 2013
Any particular reason anyone should do your work? I would recommend you learn to use the debugger, go through your code line by line and try to locate the errors yourself. People in this forum are more than willing to help but please show some effort on your part.

Sign in to comment.

Answers (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!