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];
5 T, [  u4 u+ [4 S  ?. CT=[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')
% K, g' \% V# W5 [- z5 l%  当前输入层权值和阈值
* ?/ q% ^  m" t$ F; x5 jinputWeights=net_1.IW{1,1}
1 Z1 S* J" w# [* U+ |& J7 Q# Qinputbias=net_1.b{1}
%  当前网络层权值和阈值
/ H) I4 t. y2 y9 }2 playerWeights=net_1.LW{2,1}
layerbias=net_1.b{2}
4 [( u0 a2 m2 n- t! y%  设置训练参数
net_1.trainParam.show = 50;
; O2 \9 A+ P- _1 onet_1.trainParam.lr = 0.05;
, c6 c* \7 I. H$ W7 u! ?: P% Inet_1.trainParam.mc = 0.9;
net_1.trainParam.epochs = 10000;
+ V/ e. F% H& h2 L6 W6 L2 y' W2 k  j6 Mnet_1.trainParam.goal = 1e-3;
" ?% m; P! T" H%  调用 TRAINGDM 算法训练 BP 网络
[net_1,tr]=train(net_1,P,T);
2 @3 p- }8 H7 B" S% x%  对 BP 网络进行仿真
A = sim(net_1,P);
+ `2 w) ^: O7 R# A4 ?%  计算仿真误差
/ c# w6 k! C4 ^: x4 A8 |E = T - A;
" h* ~1 [' }! |MSE=mse(E)
7 \- }2 Z( F7 s5 @5 s2 l$ o+ B( bx=[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
& k/ v, V% O/ B2 r  q! Msim(net_1,x)
. G/ Y3 u6 [* C7 h$ F: ?6 ?' U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。