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];
$ z9 D3 \' T$ J%  创建一个新的前向神经网络
+ O) A2 v% f5 C" {+ bnet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
( Q7 `0 ^: r" {2 f9 V- ^2 b%  当前输入层权值和阈值
inputWeights=net_1.IW{1,1}
inputbias=net_1.b{1}
%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
$ B) F) p) E+ m" a# ?layerbias=net_1.b{2}
%  设置训练参数
' k2 T+ N: q2 B3 D. jnet_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
0 x# J, M7 b( I+ a% t( [net_1.trainParam.mc = 0.9;
0 i4 g! s, Y0 |net_1.trainParam.epochs = 10000;
% @% Y* \" I# I* gnet_1.trainParam.goal = 1e-3;
%  调用 TRAINGDM 算法训练 BP 网络
9 G3 s9 J. K. S8 n6 W2 y; f[net_1,tr]=train(net_1,P,T);
# o, A0 F6 O5 z6 Q: X  B. j%  对 BP 网络进行仿真
  I, z( r4 W3 ^# v; x4 C* ~A = sim(net_1,P);
+ ~/ K; M4 V6 _( }3 ^+ Z8 s%  计算仿真误差
- j. @& {$ r% NE = T - A;
MSE=mse(E)
! Q! n  \3 l, Y9 l( K9 c+ ex=[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
; u1 C2 S4 L* B/ C8 q. O1 Dsim(net_1,x)
+ P5 R) A, [! N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!!!!!!!!!!!