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];
- [" G' n2 V5 K. `- [7 r5 TT=[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
: ^' b4 v. q3 @7 S6 _+ C. X$ dnet_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}
0 S4 m1 B% I" hinputbias=net_1.b{1}
%  当前网络层权值和阈值
/ y7 L4 D5 B# _+ l8 G- NlayerWeights=net_1.LW{2,1}
8 D# V4 }6 M6 B7 ?layerbias=net_1.b{2}
%  设置训练参数
& x8 t* s- Y! f. V& N. F+ Dnet_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
0 T% `6 B( {3 v* C7 G4 W  Unet_1.trainParam.mc = 0.9;
5 J1 [; h7 H/ k. Wnet_1.trainParam.epochs = 10000;
net_1.trainParam.goal = 1e-3;
( z# o3 ^& V! e" U2 h+ f  |%  调用 TRAINGDM 算法训练 BP 网络
[net_1,tr]=train(net_1,P,T);
% O: ^$ a" |% u%  对 BP 网络进行仿真
A = sim(net_1,P);
%  计算仿真误差
4 v0 S+ t2 }% }* M, ]$ v5 yE = T - A;
' E" E! h5 o/ A$ E# A) t5 KMSE=mse(E)
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
! I$ h- d+ x9 P& C# C/ lsim(net_1,x)
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 。
4 t; c! e8 D9 i, g5 j. v

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!!!!!!!!!!!