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];
: [5 R3 i  o- Z" _3 dT=[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 \& J! U( N4 F9 J2 O! K( h%  创建一个新的前向神经网络
& S$ j- d( r3 _- P# k$ l1 U$ Hnet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
) Z& e. B( v8 c6 h" X1 u* E4 F% s+ E1 F%  当前输入层权值和阈值
/ d+ b3 h% S8 F* C- qinputWeights=net_1.IW{1,1}
& O; F: L, o! D! G: e8 a+ ]0 |inputbias=net_1.b{1}
%  当前网络层权值和阈值
$ A1 d0 H2 f, p. G" ~' r3 `layerWeights=net_1.LW{2,1}
layerbias=net_1.b{2}
%  设置训练参数
' ~% k+ W' w- O" ~, Y4 _$ lnet_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
net_1.trainParam.mc = 0.9;
1 `' B  f: p# d9 ^) U1 s( A6 unet_1.trainParam.epochs = 10000;
net_1.trainParam.goal = 1e-3;
%  调用 TRAINGDM 算法训练 BP 网络
[net_1,tr]=train(net_1,P,T);
%  对 BP 网络进行仿真
8 [+ T  c; H" h% i1 _$ _- TA = sim(net_1,P);
%  计算仿真误差
; l1 f0 Z" _' }! I- ]E = T - A;
MSE=mse(E)
! l) e# |, i! s3 ]* px=[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
2 S$ v8 L/ ^) S% ?5 J- c; 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 。
$ i. O, `1 K  A/ 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!!!!!!!!!!!