matlab神经网络结果分析,BP神经网络仿真、结果分析

p=[-0.9956 -0.7968;

-0.9985 0.1235;

-1.0000 1.0000;

-0.6660 -0.8380;

-0.6737 -0.1778;

-0.6792 0.9324;

-0.3354 -0.8734;

-0.3420 -0.2247;

-0.3467 0.1177;

0.0737 -0.8838;

-0.0099 -0.2688;

-0.0165 0.7926;

0.3296 -0.9329;

0.3238 0.0055;

0.3191 0.7266;

0.6586 -0.3592;

0.6571 -0.0481;

0.6516 0.6533;

1.0000 -1.0000;

0.9915 -0.1054;

0.9857 0.5767;]';

t=[-1;

-1;

-1;

-0.67;

-0.67;

-0.67;

-0.33;

-0.33;

-0.33;

0;

0;

0;

0.33;

0.33;

0.33;

0.67;

0.67;

0.67;

1;

1;

1;]';

net = newff([-1 1;-1 1],[11,1],{'tansig','purelin'},'trainlm');

LP.lr=0.