求帮忙

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];
% r) f8 ]# T: k$ J0 Y8 Y+ Y4 I: g+ k) gT=[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
4 a7 ?/ N! P5 z. W; C# ^. \. Inet_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}
inputbias=net_1.b{1}
%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
; O9 m( x5 b1 I# K6 Olayerbias=net_1.b{2}
2 @. l% W. i' a$ z/ y% `. S& v) n+ r0 o%  设置训练参数
7 ]# r: S/ f2 b; `  W: D8 ?net_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
net_1.trainParam.mc = 0.9;
net_1.trainParam.epochs = 10000;
+ A, F8 I- `0 z3 anet_1.trainParam.goal = 1e-3;
" i2 O5 j: k* N9 I: h  [%  调用 TRAINGDM 算法训练 BP 网络
/ n7 Q7 z. t5 p( \  g! f8 C+ v0 J[net_1,tr]=train(net_1,P,T);
%  对 BP 网络进行仿真
A = sim(net_1,P);
! v2 ~; _+ S) ]%  计算仿真误差
E = T - A;
5 [9 R' V! c- GMSE=mse(E)
* D0 n4 n& b4 E) P+ V9 yx=[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
% g9 Q3 U. [( O, v. Usim(net_1,x)
( q) ~3 |( y, {5 k; k5 \' c( T. H- }, b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 。
5 G( H5 H, ?& y% w% H

fffffffddf

这个太难了，我也不会

346010696

眼早就花了~~~

renzhe1

强烈支持。楼主万岁

rchjia

哦～～

tzw

楼主的帖子实在是写得太好了。可是我立刻想到，这么好的帖子，倘若别人看不到，那么不是浪费楼主的心血吗？经过痛苦的思想斗争，我终于下定决心，牺牲小我，奉献大我。我要拿出这帖子奉献给世人赏阅，我要把这个帖子一直往上顶，往上顶！顶到所有人都看到为止！  

xuwei198215

哦～～

heyingfeifei

楼主的帖子实在是写得太好了。可是我立刻想到，这么好的帖子，倘若别人看不到，那么不是浪费楼主的心血吗？经过痛苦的思想斗争，我终于下定决心，牺牲小我，奉献大我。我要拿出这帖子奉献给世人赏阅，我要把这个帖子一直往上顶，往上顶！顶到所有人都看到为止！  

yaotl17

留个脚印```````

lihao54

来报道!!!!!!!!!!!