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( ]1 ]+ u$ p* n, n3 N! eT=[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')
: j! U+ Q) k9 {5 S; o) F: Q7 j5 q%  当前输入层权值和阈值
4 q- a) @8 |" E, dinputWeights=net_1.IW{1,1}
0 {! S! r- @4 y3 t5 F3 Q: iinputbias=net_1.b{1}
%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
& i6 ^" L/ m: Mlayerbias=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;
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
  u5 s  b6 G: a4 V. P8 Y+ pA = sim(net_1,P);
( [, q  x9 m. B8 ^2 W1 J1 `( Z: G  b%  计算仿真误差
* A$ F. V8 N+ B( p2 LE = T - A;
& X/ f! O& K6 X" fMSE=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)
5 f! Q( Q* ?3 O9 B, B- f$ M# E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 。
7 P& n( b, A1 b% ~  q$ s

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。