P = [0.1515 0.1501 0.1509 0.1504 0.1504 0.1500
0.1515 0.1501 0.1509 0.1504 0.1504 0.1500
0.1515 0.1501 0.1500 0.1504 0.1504 0.1500
0.1515 0.1500 0.1509 0.1504 0.1504 0.1500
0.1515 0.1500 0.1509 0.1504 0.1504 0.1500
0.1515 0.1500 0.1509 0.1504 0.1504 0.1500
0.9684 0.2792 0.877 0.7426 0.7228 0.2272
0.9838 0.2941 0.9181 0.7977 0.7702 0.2452
0.9922 0.3101 0.9475 0.8445 0.8227 0.2665
0.9953 0.3058 0.9625 0.8708 0.8637 0.2624
0.9982 0.3242 0.9797 0.9089 0.9001 0.3008
0.9995 0.3469 0.9917 0.9314 0.9282 0.3678
0.9998 0.3565 0.9948 0.9493 0.9525 0.4500];
T= [0.1521
0.6949
0.7064
0.7083
0.7560
0.7807
0.8182
0.8533
0.8677
0.8459
0.8910
0.9269
0.9496];
ff=newff(P,T,13);
ff.trainParam.epochs = 15000;
ff = train(ff,P,T);
Y1 = sim(ff,P);
cf=newcf(P,T,13);
cf.trainParam.epochs = 15000;
cf = train(cf,P,T);
Y2 = sim(cf,P);
plot(P,T,'o-');
hold on;
plot(P,Y1,'^m-');
plot(P,Y2,'*-k');
title('newff & newcf')
legend('原始数据','newff结果','newcf结果,0)
Error using network/train (line 325)
Inputs and targets have different numbers of samples.
P,T是归一化的结果，用了两种不同的代码运行，结果都是Error using network/train (line 325)
Inputs and targets have different numbers of samples. 请问，是归一化的数据不对，还是隐含层设置不对，还是代码哪里有误？请各位大神帮帮忙，非常感谢！