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];
, h3 V# Z8 @( o+ e# F3 CT=[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];
1 h( O& @, U( z' `! V0 X6 Z/ |%  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
inputWeights=net_1.IW{1,1}
0 a# R: T0 T. R1 Yinputbias=net_1.b{1}
, o7 j5 @0 l) ]" `: S%  当前网络层权值和阈值
' x, f1 {; U" p$ hlayerWeights=net_1.LW{2,1}
) n% v5 D- s- G1 B# \) Qlayerbias=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;
/ |# `; {7 @& l9 T& M' B: D%  调用 TRAINGDM 算法训练 BP 网络
  `* f/ `: }! S) _( y[net_1,tr]=train(net_1,P,T);
3 e( c" F/ F' a8 h0 d' K. R( j%  对 BP 网络进行仿真
A = sim(net_1,P);
%  计算仿真误差
E = T - A;
& t. w% B( {4 l; |7 M  Z; D1 q8 `MSE=mse(E)
" Z7 Q- V: q! C( _3 t. c# tx=[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)
9 s4 X( a5 K  L  [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 。
  k# `) ]" L2 m" M4 ]3 ?) a/ `1 ?

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!!!!!!!!!!!