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];
  t# f( f$ q2 U6 V! W9 T/ P; s' X& v%  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
6 t$ X% ?1 |0 g9 w- l& ^inputWeights=net_1.IW{1,1}
/ q! C- _& V9 E! ~! H, R9 j2 minputbias=net_1.b{1}
%  当前网络层权值和阈值
/ e! g+ x& Q+ r& D+ HlayerWeights=net_1.LW{2,1}
layerbias=net_1.b{2}
1 l' N7 n0 b$ `* Z# F%  设置训练参数
net_1.trainParam.show = 50;
6 j1 M$ O, }& C% ^2 Y; lnet_1.trainParam.lr = 0.05;
* J) U  V  Q9 t. Jnet_1.trainParam.mc = 0.9;
4 S- o+ m3 ?4 w& i$ v) D7 }+ u# `5 dnet_1.trainParam.epochs = 10000;
net_1.trainParam.goal = 1e-3;
%  调用 TRAINGDM 算法训练 BP 网络
' I1 L; O0 P/ \[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
9 A8 I# z) y6 W. `7 f0 wE = T - A;
MSE=mse(E)
7 q+ j( X$ P' Cx=[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
8 b2 W+ ?0 }4 d* I8 U' Ysim(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 。
4 O. `9 r! t  I$ C! G' |* `

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

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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!!!!!!!!!!!