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一些MATLAB的程序,,其中有BP神经网络集成的程序,在数据处理时采用归一化函数

P=[23 154.25 67.75 36.2 93.1 85.2 94.5 59 37.3 21.9 32 27.4 17.1 12.27;
   22 173.25 72.25 38.5 93.6 83 98.7 58.7 37.3 23.4 30.5 28.9 18.2 6.1];
T=[22.5 160.0 69.0 37.0 93.2 84.0 96.0 58.0 37.3 22.0 29.0 28.5 18.8 15.5];
P=premnmx(P);
T=premnmx(T);
net=newff(minmax(P),[15 1],{'tansig','purelin'},'trainc');
net=init(net);
net.trainParam.epochs=2000;
net.trainParam.goal=1;
net=train(net,P,T);
y=sim(net,P);
error=y-T;
res=norm(error);
figure;
plot(P,T,'r+');
hold on
plot(P,y,'.');
figure;
plot(1:14,y-T,'+');