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];
T=[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')
4 [! y' ~7 e( F$ C  }  Q; F- h' d%  当前输入层权值和阈值
9 t# c0 f7 m. UinputWeights=net_1.IW{1,1}
1 t9 o) C1 P3 {& `inputbias=net_1.b{1}
: M9 E) I# c- h9 k" m5 J" c1 h%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
% y9 H4 j  O5 h5 mlayerbias=net_1.b{2}
%  设置训练参数
, p! i" ]* \8 l# Snet_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
net_1.trainParam.mc = 0.9;
net_1.trainParam.epochs = 10000;
- [* W' f! v8 r& [) ^9 Dnet_1.trainParam.goal = 1e-3;
%  调用 TRAINGDM 算法训练 BP 网络
[net_1,tr]=train(net_1,P,T);
! E$ W/ A, y& F$ _  A* F7 \%  对 BP 网络进行仿真
A = sim(net_1,P);
- M. \; `. e' R# f% T+ m: b%  计算仿真误差
2 A) G# C/ h5 {* h4 p# TE = T - A;
6 A& S! D/ y  C9 e  p' d& ]0 x8 n) rMSE=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)
- z' F# W) ~! S! X' X, r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 。

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!!!!!!!!!!!