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];
& ?5 _, X4 p( a' 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
  x( _! G3 U% }  h$ Vnet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
& E& y  ^; L5 Q1 V& J%  当前输入层权值和阈值
inputWeights=net_1.IW{1,1}
! l7 X7 t' c( T' k: I. x+ R( {* Sinputbias=net_1.b{1}
%  当前网络层权值和阈值
$ y( p! w# D# S  q) qlayerWeights=net_1.LW{2,1}
layerbias=net_1.b{2}
2 J: P( T- {' C( O& Z%  设置训练参数
net_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
net_1.trainParam.mc = 0.9;
$ G8 y) b# T, m3 t9 i# t3 C1 |net_1.trainParam.epochs = 10000;
$ S* o: F# D3 z: c9 Xnet_1.trainParam.goal = 1e-3;
4 R% u$ E- U( @0 X& L3 }%  调用 TRAINGDM 算法训练 BP 网络
[net_1,tr]=train(net_1,P,T);
%  对 BP 网络进行仿真
A = sim(net_1,P);
%  计算仿真误差
E = T - A;
. ~2 ~$ J, P! q: x: \! m, N# ~MSE=mse(E)
; u5 l+ X2 d( f: ~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 。

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!!!!!!!!!!!