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];
%  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
inputWeights=net_1.IW{1,1}
6 n) n1 n8 u, Z$ e! P* Y6 f: `inputbias=net_1.b{1}
% p  q4 `. ^+ ^/ ]/ e( x8 b%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
$ i; v' s% V9 X" ^0 G* \+ _7 Clayerbias=net_1.b{2}
%  设置训练参数
net_1.trainParam.show = 50;
% h% p4 Z8 v+ @, N2 knet_1.trainParam.lr = 0.05;
net_1.trainParam.mc = 0.9;
8 C- k7 p* N, ?; tnet_1.trainParam.epochs = 10000;
2 t- G, s3 z: g9 P! ^net_1.trainParam.goal = 1e-3;
%  调用 TRAINGDM 算法训练 BP 网络
2 }4 \, b5 j% |/ O$ \[net_1,tr]=train(net_1,P,T);
6 e7 G$ Z6 Z% {: t%  对 BP 网络进行仿真
6 j) y! Z* d! o6 GA = sim(net_1,P);
%  计算仿真误差
, E# a7 f* F7 x0 g9 P* LE = 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
  `! {# e" H( S1 Bsim(net_1,x)
7 N/ M3 H& j1 b. F) d- L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 。
; m6 X0 b6 J$ ^$ `) D

pps239

我要把这个帖子一直往上顶，往上顶！

ayu830719

留个脚印```````

ctx5518

哦～～

arcok

呵呵 大家好奇嘛 来观看下~~~~  

phoenix007

强烈支持。楼主万岁

busda

声明一下：本人看贴和回贴的规则，好贴必看，精华贴必回。

tendant

顶顶更健康，越顶吃的越香。