求

lyfsgdhr

P=[0.1093,0.1110,0.1127,0.1141,0.1154,0.1164,0.1171,0.1175,0.1178,0.1179,0.1179,0.1179,0.1179,0.1180,0.1182];
T=[0.1110,0.1127,0.1141,0.1154,0.1164,0.1171,0.1175,0.1178,0.1179,0.1179,0.1179,0.1179,0.1180,0.1182,0.1185];
" p8 C! \" Q) a$ Z, u0 {%  创建一个新的前向神经网络
& F$ C( f1 `" Anet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
" d/ m5 h; L$ @; M8 K7 a1 }%  当前输入层权值和阈值
inputWeights=net_1.IW{1,1}
' A1 p( D. r. E# o) f: linputbias=net_1.b{1}
%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
layerbias=net_1.b{2}
%  设置训练参数
net_1.trainParam.show = 50;
1 J0 _3 H1 J2 P6 z5 lnet_1.trainParam.lr = 0.05;
$ ^. g0 C: x1 }5 a" P" X  o' snet_1.trainParam.mc = 0.9;
net_1.trainParam.epochs = 10000;
net_1.trainParam.goal = 1e-3;
* j9 |$ z! S8 T. g- t, q' y; Z# Y%  调用 TRAINGDM 算法训练 BP 网络
3 `5 E1 m* j4 G- ]. x[net_1,tr]=train(net_1,P,T);
%  对 BP 网络进行仿真
, I( j" c1 t8 Q% B; eA = sim(net_1,P);
%  计算仿真误差
E = T - A;
MSE=mse(E)
- F; N4 ]: X( P3 z) L: I' X( }x=[0.1110,0.1127,0.1141,0.1154,0.1164,0.1171,0.1175,0.1178,0.1179,0.1179,0.1179,0.1179,0.1180,0.1182,0.1185]';%测试
sim(net_1,x)
6 p: b! j0 y1 b% x5 O5 ?这段程序是根据14年的数据，来预测下一年的，怎么算不出来啊 。

xiongyule1986

强烈支持。楼主万岁

刀狼1900

我基本上是采用看英语文章的办法，先泛读，再精读，再一句一句看，最后再提纲挈领，总算是明白一点了，当然，也可能还是领悟错了。最后要说的一句话是：楼主，你很牛叉，希望你不是真的有病。   

qian7981

鉴定完毕！  

lzz50648483

顶顶更健康，越顶吃的越香。

chxq666

哦～～

sjs914915

试试运气啦~~~~~~~~~~~

流氓兔

哦～～

hehuan_hh

来报道!!!!!!!!!!!