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];
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];
& Y3 R% X0 q9 A. ]9 E& l; e%  创建一个新的前向神经网络
' w& Z) y2 o) G' E$ X4 ^, \net_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
) e9 D2 q# s# D& `. p0 N%  当前输入层权值和阈值
& s7 j# r# T1 WinputWeights=net_1.IW{1,1}
inputbias=net_1.b{1}
8 r) ^: R1 _! s" a0 M0 q%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
# c1 N) D- O4 playerbias=net_1.b{2}
. e4 U  G5 X; g) Q%  设置训练参数
" p$ ]/ W$ u1 O. G2 f& r' d; gnet_1.trainParam.show = 50;
net_1.trainParam.lr = 0.05;
net_1.trainParam.mc = 0.9;
  r' n+ y9 \6 a) Q' r; j9 ~% Nnet_1.trainParam.epochs = 10000;
" s' n8 I1 g1 x4 _  R: P* }: ?) L. b5 Xnet_1.trainParam.goal = 1e-3;
/ k% q8 W1 T4 E1 w%  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
! `* n( o# l$ {7 V8 h1 GA = sim(net_1,P);
%  计算仿真误差
. }9 ~2 V, p7 V8 F& x. T/ iE = 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
sim(net_1,x)
9 a5 h" i3 D0 n) o: c1 k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!!!!!!!!!!!