I have written a code in Matlab for neural network training and testing. But, it is not working as expected. I am training the network with input and target and testing it with test input and plotting the response against the actual response. mse is too high. The value of mse that I am getting is 15.4. Is there any mistake in the code? Can you take a look at the code and help me out !!
load a1.txt ( Input )load a4.txt (Target)load b1.txt (Test input)load b4.txt (actual output)P=[a1(1:2986,1)];T=[a4(1:2986,1)];a=[b1(1:2986,1)];s=[b4(1:2986,1)];[pn1,PS] = mapminmax(P');[tn1,TS] = mapminmax(T');[an1,AS]= mapminmax(a');[sn1,SS]= mapminmax(s');netnew1=newfit(pn1,tn1,[]);[netnew1,tr1]=train (netnew1,pn1,tn1);y2=sim(netnew1,an1);y2_again = mapminmax('reverse',y2',TS);plot(y2_again,'r');hold; plot(s);d=(y2_again-s).^2;mse1=mean(d);
Thanks & Regards,
Haritha Srinivasan
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