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];
# ?% E# n' r3 S' F3 M6 k! b2 @: ~8 M* ]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];
; y% i( [) }# q' C6 F- S%  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
; M, o9 H( E2 d2 E; @1 ^- O- vinputWeights=net_1.IW{1,1}
inputbias=net_1.b{1}
" r" b4 b: y8 `9 p5 B%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
layerbias=net_1.b{2}
%  设置训练参数
net_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
6 R+ T, k* Y1 ?  Y5 M( {1 Anet_1.trainParam.mc = 0.9;
6 t1 a+ `* Q! V1 Cnet_1.trainParam.epochs = 10000;
/ S* U- g5 Q- b5 E. @. v) onet_1.trainParam.goal = 1e-3;
%  调用 TRAINGDM 算法训练 BP 网络
5 Q/ _3 I) M, P/ x1 Q# @, V% R[net_1,tr]=train(net_1,P,T);
7 R5 g( m+ [4 N; F% p%  对 BP 网络进行仿真
A = sim(net_1,P);
%  计算仿真误差
; z. L; J. K" L8 {  O" T2 S6 G  nE = 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
1 J7 J% Y3 R: f. h0 \+ c" v# ksim(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 。
! d) L9 B1 ^6 a* I. Y! f! I

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!!!!!!!!!!!