Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- clear all
- nntwarn off
- format compact
- P=-1:.1:-.5;
- T=[-.9602 -.5770 -.0729 .3771 .6405 .6600];
- [R,Q]=size(P);
- [S2,Q]=size(T);
- S1=13;
- [W1, B1]=nwtan(S1,R);
- [W2, B2]=rands(S2,S1);
- disp_freq=100;
- max_epoch=20000;
- err_goal=1e-30;
- lr=0.01;
- error=[];
- for epoch=1:max_epoch,
- A1=tansig(W1*P,B1);
- A2=purelin(W2*A1,B2);
- E = T - A2;
- D2=deltalin(A2,E);
- D1=deltatan(A1,D2,W2);
- [dW1, dB1]=learnbp(P,D1,lr);
- W1=W1+dW1;
- B1=B1+dB1;
- [dW2, dB2]=learnbp(A1,D2,lr);
- W2=W2+dW2;
- B2=B2+dB2;
- SSE=sumsqr(E);
- error=[error SSE];
- if SSE<err_goal,
- epoch=epoch-1;
- break
- end
- if(rem(epoch,disp_freq)==0)
- fprintf('%d/%d, SSE = %g\n', epoch, max_epoch, SSE);
- plot(P,A2,'r',P,T,'g')
- pause(1e-500)
- end
- end
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement