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];
3 R( [  M. V# E2 d) _%  创建一个新的前向神经网络
net_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
1 z" C! [) h# P) e%  当前输入层权值和阈值
inputWeights=net_1.IW{1,1}
" }/ C: y% w* ]1 Y! Y. L2 ninputbias=net_1.b{1}
" A* W' j: Z$ Z9 @: ?/ i. m%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
) r: y' T# t7 Rlayerbias=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;
& j" K: O+ t9 Nnet_1.trainParam.epochs = 10000;
" N5 L: M9 p- \$ J9 D7 tnet_1.trainParam.goal = 1e-3;
, E, U2 T6 v( Q  \%  调用 TRAINGDM 算法训练 BP 网络
2 Q( Q3 B, U) R: S7 y[net_1,tr]=train(net_1,P,T);
%  对 BP 网络进行仿真
A = sim(net_1,P);
) C$ m5 ^8 n* x# d* p%  计算仿真误差
E = T - A;
MSE=mse(E)
3 Y% i# J$ X* }8 `% nx=[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
" J$ I' v* r: g5 Z9 [sim(net_1,x)
' B4 s* t- h4 V# }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!!!!!!!!!!!