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];
! M, S" t+ X) L' j, n7 FT=[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
6 x  B/ N0 ?% o: {+ Pnet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
. Z+ E6 S4 b9 E% @2 [1 v%  当前输入层权值和阈值
& p+ z0 k/ a5 z4 einputWeights=net_1.IW{1,1}
inputbias=net_1.b{1}
%  当前网络层权值和阈值
* p' ^3 C( D0 P7 E' {/ O+ ^layerWeights=net_1.LW{2,1}
layerbias=net_1.b{2}
%  设置训练参数
1 W' W, j9 ]: f; o& hnet_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
net_1.trainParam.mc = 0.9;
net_1.trainParam.epochs = 10000;
% n  F9 D" j  s, a( y% |net_1.trainParam.goal = 1e-3;
: Q  S6 V7 T/ q3 F8 ~* c. u* ?3 Q%  调用 TRAINGDM 算法训练 BP 网络
[net_1,tr]=train(net_1,P,T);
2 |. y) w. q2 a+ u%  对 BP 网络进行仿真
A = sim(net_1,P);
%  计算仿真误差
* |5 t4 h  r, Z1 a1 T5 B) tE = T - A;
" |3 }+ h/ g9 E& ?9 UMSE=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
* i7 w! d" x5 F; u1 H& W9 usim(net_1,x)
: C: s/ {6 w: V2 V" x0 h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!!!!!!!!!!!