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];
- Y* m& ]  H4 ]6 u' P4 vT=[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];
* B! V: c8 [( G%  创建一个新的前向神经网络
net_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
%  当前输入层权值和阈值
+ s7 [  h; m6 r, C. HinputWeights=net_1.IW{1,1}
/ k. u5 K  p6 ^2 Y3 z" q  ]inputbias=net_1.b{1}
# G! [. t, d4 K0 c%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
layerbias=net_1.b{2}
3 Q& D/ M: Y9 H5 ^5 Z) t" r) V  y%  设置训练参数
; a4 ]. Z% ]/ r3 Snet_1.trainParam.show = 50;
" Q  x9 u5 _: @" ~. Vnet_1.trainParam.lr = 0.05;
9 p' J8 |; {% [6 ]" M$ z/ ]& P* Unet_1.trainParam.mc = 0.9;
net_1.trainParam.epochs = 10000;
net_1.trainParam.goal = 1e-3;
" h6 m1 J4 }8 Q/ i/ q: |- K* b%  调用 TRAINGDM 算法训练 BP 网络
[net_1,tr]=train(net_1,P,T);
. ~9 @) F& }1 t, s  X; q& \%  对 BP 网络进行仿真
$ `+ I. Z( P% y1 FA = sim(net_1,P);
%  计算仿真误差
E = 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 。

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!!!!!!!!!!!