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];
" \/ a' p& {, ~1 ^) hT=[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
/ W2 |$ V3 j+ ]) D, h3 K* @) onet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
& s1 `0 o" k2 n# Z5 ?%  当前输入层权值和阈值
inputWeights=net_1.IW{1,1}
5 D0 E9 S) H' f8 g% K8 \* C9 s, `inputbias=net_1.b{1}
%  当前网络层权值和阈值
' D. i; J6 @# i: W$ _layerWeights=net_1.LW{2,1}
; W: ^" i' O/ N4 Olayerbias=net_1.b{2}
%  设置训练参数
net_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
net_1.trainParam.mc = 0.9;
net_1.trainParam.epochs = 10000;
net_1.trainParam.goal = 1e-3;
& r7 w4 g, H% r5 R( G%  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;
MSE=mse(E)
1 Z& W4 Z4 A- 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
! m& E7 c+ H% x3 G- f) l  Rsim(net_1,x)
0 T( v, N; g3 _: s- s8 k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 。
' p' s3 i0 ~- N

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!!!!!!!!!!!