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
) l4 F* I; G5 {; v1 `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}
inputbias=net_1.b{1}
# g9 |0 n0 u) f5 b2 s%  当前网络层权值和阈值
; ?# E, E1 s8 ^' n  H% p4 `layerWeights=net_1.LW{2,1}
: q2 G" z5 T/ \layerbias=net_1.b{2}
%  设置训练参数
0 Q# f& Y$ f4 ~0 t3 e' Y$ \net_1.trainParam.show = 50;
- Z' ], [6 ]3 Pnet_1.trainParam.lr = 0.05;
( v' T+ |4 P! v2 h! A1 dnet_1.trainParam.mc = 0.9;
net_1.trainParam.epochs = 10000;
net_1.trainParam.goal = 1e-3;
%  调用 TRAINGDM 算法训练 BP 网络
7 n# k9 e6 A8 I! k[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
7 E/ w5 a6 i' v3 p2 IE = T - A;
MSE=mse(E)
4 I5 l7 q/ U; }6 y: P  j0 Wx=[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
, [+ K% \8 l6 I& A2 b$ isim(net_1,x)
3 F! m2 S. V9 f3 R) Z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 。
, T- Z. N( |7 M2 {# k

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!!!!!!!!!!!