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];
: f7 _# {( u' j  ZT=[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];
# y' n  b2 }* m4 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
; e' d2 Q! b. F3 a4 g9 xinputWeights=net_1.IW{1,1}
( V2 f. L9 s9 w9 ^. F4 yinputbias=net_1.b{1}
%  当前网络层权值和阈值
* B, S! T& ]1 C! J9 F9 P6 W* hlayerWeights=net_1.LW{2,1}
layerbias=net_1.b{2}
8 N1 A+ {6 C  d7 J# J& J, }3 e$ K%  设置训练参数
# |0 |3 Y) J7 c! u$ cnet_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;
+ V0 H+ O. v1 _3 k! w! {%  调用 TRAINGDM 算法训练 BP 网络
3 N4 n3 E: _: e7 Z2 T& P[net_1,tr]=train(net_1,P,T);
%  对 BP 网络进行仿真
A = sim(net_1,P);
. x4 f- A) s' F%  计算仿真误差
9 X8 U2 q- j: i4 ]" pE = T - A;
MSE=mse(E)
x=[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
. \. Z. e1 [3 i5 |4 U; Y9 Esim(net_1,x)
- x' W# o: y+ M6 E  ?) y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 。
* n$ l# C% }; t+ p5 H) 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!!!!!!!!!!!