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];
4 q* k* P! G0 V8 ]+ m7 DT=[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];
%  创建一个新的前向神经网络
net_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
%  当前输入层权值和阈值
inputWeights=net_1.IW{1,1}
( ~; \" f( ]+ G7 Ginputbias=net_1.b{1}
%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
; x* d! a- ~6 e9 g, Klayerbias=net_1.b{2}
8 ]0 n" U& R, B%  设置训练参数
  B* W  N, |& @% d; S  Nnet_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
! G4 R5 Z9 x' c6 W) bnet_1.trainParam.mc = 0.9;
) \; T8 S' x- Y4 R- Cnet_1.trainParam.epochs = 10000;
net_1.trainParam.goal = 1e-3;
; K: H! [/ z  ~: v%  调用 TRAINGDM 算法训练 BP 网络
[net_1,tr]=train(net_1,P,T);
%  对 BP 网络进行仿真
: M5 Z- }1 S. t- s7 ?7 d! ]A = sim(net_1,P);
%  计算仿真误差
/ x; Q  T( C# kE = T - A;
+ I, t# U% q3 z: I& pMSE=mse(E)
2 c7 a' L' p" `; G0 h5 q% u0 Gx=[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)
0 {5 X) `5 z6 K9 i6 {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 。
1 R+ h$ x& Z9 f9 n1 ~

小青菜

看上去好烦哦

zhou2yong888

看不懂·····

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...........................................

kxhu

哦～～

hbchina99

鉴定完毕！  

ask4kevin

看起来好~~像啊~~~~~

talent212121

鉴定完毕！  

hyxie616

楼主，你写得实在是太好了。我惟一能做的，就只有把这个帖子顶上去这件事了

pankg

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。