求

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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];
* o, r. Q7 f8 W1 f0 y8 ^8 F0 r; G( `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];
$ Z8 k+ r  q9 A5 z, X( A%  创建一个新的前向神经网络
$ x# f2 U1 W/ J" Bnet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
; G) ^  x  H, g8 F' l0 A1 [%  当前输入层权值和阈值
inputWeights=net_1.IW{1,1}
inputbias=net_1.b{1}
9 q0 D$ ]9 U4 Q$ V( G%  当前网络层权值和阈值
& T/ `" a/ Q5 e- glayerWeights=net_1.LW{2,1}
& ~: L- G: L! P1 E: u# ]% X2 n5 elayerbias=net_1.b{2}
%  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;
! n! z) ?! E" M( J+ onet_1.trainParam.goal = 1e-3;
%  调用 TRAINGDM 算法训练 BP 网络
[net_1,tr]=train(net_1,P,T);
+ i* m4 q  X* s* ^* G4 \%  对 BP 网络进行仿真
: G( y1 Q5 D. C3 d( b6 F/ h8 jA = sim(net_1,P);
%  计算仿真误差
" O" }. d6 ~8 G8 C2 M! l" aE = 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
* Z: a& C0 k+ @  usim(net_1,x)
. {9 G# h, w9 U: u% T9 \8 i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 。

小青菜

看上去好烦哦

zhou2yong888

看不懂·····

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...........................................

kxhu

哦～～

hbchina99

鉴定完毕！  

ask4kevin

看起来好~~像啊~~~~~

talent212121

鉴定完毕！  

hyxie616

楼主，你写得实在是太好了。我惟一能做的，就只有把这个帖子顶上去这件事了

pankg

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。