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];
%  创建一个新的前向神经网络
) a5 X, J3 d) R: f  D& [! i/ G4 n% qnet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
  d& a  _* J/ A%  当前输入层权值和阈值
/ k' J/ K$ E# {2 o- Z) O' _inputWeights=net_1.IW{1,1}
inputbias=net_1.b{1}
# L" n6 ^) j6 Y/ L$ d8 O%  当前网络层权值和阈值
3 d* t2 z) Y) x5 R$ ~layerWeights=net_1.LW{2,1}
layerbias=net_1.b{2}
( I+ a+ Y8 ]& [1 j8 X%  设置训练参数
net_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
/ I. n  k2 O0 S( `( G( ^' nnet_1.trainParam.mc = 0.9;
net_1.trainParam.epochs = 10000;
6 R# ?1 x+ z) V# _0 E$ ynet_1.trainParam.goal = 1e-3;
%  调用 TRAINGDM 算法训练 BP 网络
3 W' A8 [! s, G9 D[net_1,tr]=train(net_1,P,T);
%  对 BP 网络进行仿真
8 a: {# P* v: S+ CA = sim(net_1,P);
%  计算仿真误差
" D, D; U. K+ n( ?  rE = T - A;
MSE=mse(E)
" h8 L, Q) p8 N0 L8 O) D4 s- Sx=[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)
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 k, B/ \$ F3 V4 Y% W1 \7 s

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!!!!!!!!!!!