bp.m

转载：对神经网络中使用最广泛的一种：BP神经网络采用vbmatlab来实现

load osforce2.m;
a=osforce2';
load osgap2.m;
b=osgap2';

[nb,minb,maxb,na,mina,maxa]=premnmx(b,a);
net=init(net);
net=newff([-1 1],[10,6,1],{'tansig','logsig','purelin'},'traingdm');
net.trainParam.show = 50;
net.trainParam.lr = 0.05;
net.trainParam.epochs = 10000;
net.trainParam.goal = 1e-5;
net=train(net,nb,na);
nc= sim(net,nb);
c=postmnmx(nc,mina,maxa);

load osgap2.m;
test=osgap2';
[ntest,mintest,maxtest]=premnmx(test);
nnetout= sim(net,ntest);
netout=postmnmx(nnetout,mina,maxa);

load osforce2.m;
real=osforce2';


me=mean(real-netout)
st=std(netout-real)
save d:\wzy.txt c -ASCII;

load spssyce.m;
spss=spssyce';
sts=std(real-spss)