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];
/ [1 s/ B2 i/ Q) _+ s%  创建一个新的前向神经网络
+ R0 [5 X* ^1 N+ B( M5 o/ X" jnet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
%  当前输入层权值和阈值
+ t+ ^  H" ]  R* sinputWeights=net_1.IW{1,1}
- L* I8 k& ~1 T' G& ?( hinputbias=net_1.b{1}
& c* R2 n) t6 [6 J%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
1 ^5 ]; G$ Q% W' Nlayerbias=net_1.b{2}
' o* s" O8 w& R%  设置训练参数
net_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
net_1.trainParam.mc = 0.9;
net_1.trainParam.epochs = 10000;
+ w9 O' R- w) E& Y$ R0 y2 E" Qnet_1.trainParam.goal = 1e-3;
%  调用 TRAINGDM 算法训练 BP 网络
1 O  T' O0 n: v% G$ Q; ?. r; \4 @[net_1,tr]=train(net_1,P,T);
" h" E. E- P' L% N% ?+ x# `/ \%  对 BP 网络进行仿真
A = sim(net_1,P);
%  计算仿真误差
8 w9 K( X6 K2 tE = T - A;
0 [0 n- Q! W; N- U. PMSE=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
% W! c) W/ [8 t$ b# P* x& d& A2 Ssim(net_1,x)
: P: `. E1 o3 _+ l5 G, p4 u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!!!!!!!!!!!