求

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];
/ D+ `* E2 R2 ?4 M: }$ J5 hT=[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')
7 m" N& T1 {2 J& B%  当前输入层权值和阈值
) F# b( p( q# zinputWeights=net_1.IW{1,1}
inputbias=net_1.b{1}
9 U' a# N2 x) n# n; E7 e%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
layerbias=net_1.b{2}
# S$ p4 ^' U, U8 c4 D* L%  设置训练参数
net_1.trainParam.show = 50;
5 z. k! t- _! e0 u6 Bnet_1.trainParam.lr = 0.05;
net_1.trainParam.mc = 0.9;
net_1.trainParam.epochs = 10000;
net_1.trainParam.goal = 1e-3;
/ }- b4 f9 v& ^) B' L- \%  调用 TRAINGDM 算法训练 BP 网络
2 e% w& @6 z8 R4 b$ }. P[net_1,tr]=train(net_1,P,T);
%  对 BP 网络进行仿真
% m! z) u1 y( K3 Q, p! J* ~' @) AA = sim(net_1,P);
" ?( H6 i9 m" m' ?! r& [%  计算仿真误差
E = T - A;
! e) R( S, L. P" }8 C9 nMSE=mse(E)
( n) W! [$ ~! E. |& ?8 }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
, p. r2 u- `% x& j7 k4 b; Bsim(net_1,x)
4 U$ L( }( ^- J# \6 t; b( [2 w( r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 。

xiongyule1986

强烈支持。楼主万岁

刀狼1900

我基本上是采用看英语文章的办法，先泛读，再精读，再一句一句看，最后再提纲挈领，总算是明白一点了，当然，也可能还是领悟错了。最后要说的一句话是：楼主，你很牛叉，希望你不是真的有病。   

qian7981

鉴定完毕！  

lzz50648483

顶顶更健康，越顶吃的越香。

chxq666

哦～～

sjs914915

试试运气啦~~~~~~~~~~~

流氓兔

哦～～

hehuan_hh

来报道!!!!!!!!!!!