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];
* J# e7 Z5 j; s/ Q$ T" UT=[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
1 G$ N% E9 t3 w  Knet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
%  当前输入层权值和阈值
: G+ G, l% j; E/ UinputWeights=net_1.IW{1,1}
inputbias=net_1.b{1}
%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
, |9 g) n* X' k% [6 Klayerbias=net_1.b{2}
% U4 |2 w. s6 J  i, J%  设置训练参数
0 E) S- X7 _* I( _0 J; i& snet_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
( ~% ~; Y/ g8 O0 P4 jnet_1.trainParam.mc = 0.9;
2 h0 F+ ^# Z; w8 L1 C6 c; snet_1.trainParam.epochs = 10000;
net_1.trainParam.goal = 1e-3;
%  调用 TRAINGDM 算法训练 BP 网络
[net_1,tr]=train(net_1,P,T);
, W) z+ x) V, E! S9 F%  对 BP 网络进行仿真
0 Y  l. a* w: K7 j  S, r9 j1 mA = sim(net_1,P);
: S9 q" M' ^; L) I%  计算仿真误差
1 Q; o6 k$ y  k' n5 JE = T - A;
MSE=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
sim(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 。

小青菜

看上去好烦哦

zhou2yong888

看不懂·····

fffffffddf

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

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。