p=[0.3669 0.1669 0.0919 0 0.4102 0.8989 0.7562 1.0000 0.4162 0.3271 0.3811 0.3653
0.4184 0.1502 0.0867 0 0.2315 0.8886 0.7767 0.9222 1.0000 0.5954 0.8141 0.7089
0.1617 0.0444 0.0082 0 0.3855 0.9099 0.8464 0.9971 1.0000 0.6268 0.7586 0.6730
0.3130 0.1961 0.0773 0 0.4226 0.9396 0.8124 0.9653 1.0000 0.5960 0.7861 0.6210
0.3578 0.1598 0.0915 0 0.4823 1.0000 0.6912 0.8458 0.9120 0.3609 0.4627 0.2761
0.1592 0.0635 0 0.0192 0.3696 0.8932 0.6624 0.9483 1.0000 0.6375 0.7841 0.6228
0.2399 0.0839 0 0.0256 0.4964 0.9963 0.8181 1.0000 0.9755 0.5147 0.6810 0.5135];
t=[0.3731 0.1176 0.0207 0 0.4230 0.9052 0.6277 0.8862 1.0000 0.4424 0.5955 0.5205];
p1=[0.3731 0.1176 0.0207 0 0.4230 0.9052 0.6277 0.8862 1.0000 0.4424 0.5955 0.5205];
p2=[0.3488 0.1523 0 0.0169 0.4421 0.9414 0.7320 1.0000 0.9325 0.4542 0.7648 0.5432];
net=newff(minmax(p),t,[12,6,12],{'tansig' 'sansig'},'traingdm');
net.trainparam.goal=0.001;
net.trainparam.epochs=10000;
net.trainparam.lr=0.01;
net.trainparam.show=30;
net = train(net,l,t);
y=sim(net,p);
y2=sim(net,p1);
x=1:10;
plot(x,y1,'g-*',x,p2,'r-s')


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