hi everyone,
i have a NN code ,my result is over-fitting each time i tried,please teach me how to use mapstd or .....  please simple way. this is my code:
Close all;
clear all;

load Input
num=data;

Em=num(:,1);
Fm=num(:,2);
dn=num(:,3);
dm=num(:,4);
%%%%%%%%

p1=num(1:1400,(1:3)); p11=p1';
A =dm(1:1400,1);  A1=A';

net_gas = newff([ 0 1;0 1;0 1],[10,20,1],{'tansig','tansig','purelin'},'trainlm');
net_gas.trainParam.show = 100;
net_gas.trainParam.epochs = 200;
%net_gas.performFcn = 'msereg';
%net_gas.performParam.ratio = 0.1;
net_gas.trainParam.goal = 1e-10;

%training session
net_gas=train(net_gas,p11,A1);

save net_gas

%Simulation session
y1 = sim(net_gas,p11);
y1f= y1;
H1=y1f';
%H2=H1*388.8;
%Neural Network Performance
Error= (H1-dm(1:1400))./dm(1:1400)*100;
figure

x= 1:1:1400;
plot (x, Error); grid
xlabel('Expr#');
ylabel('%Error');
title('NN performance for H');
axis([1 1400 -25 25]);

%Test session
pt1=num((1401:1822),(1:3));
pt11=pt1';
yt1 = sim(net_gas,pt11);
yt1f= yt1;
Ht1=yt1f';
%Ht2= Ht1*388.8;
Error_test= (Ht1-dm(1401:1822))./dm(1401:1822)*100;
figure

xt= 1:1:422;
plot (xt, Error_test); grid
xlabel('Exp#');
ylabel('%Error_test');
title('NN performance for H');
axis([1 422 -100 100]);