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];
%  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
$ n' w1 m% ~" IinputWeights=net_1.IW{1,1}
* K6 p% p$ e; C" V) f7 R7 [inputbias=net_1.b{1}
%  当前网络层权值和阈值
layerWeights=net_1.LW{2,1}
layerbias=net_1.b{2}
%  设置训练参数
net_1.trainParam.show = 50;
) g- B! k, [! b3 R- h- |3 Knet_1.trainParam.lr = 0.05;
net_1.trainParam.mc = 0.9;
& k4 v( j. f6 S; V" Cnet_1.trainParam.epochs = 10000;
1 y7 T' y9 d5 A% p6 ]- `net_1.trainParam.goal = 1e-3;
%  调用 TRAINGDM 算法训练 BP 网络
[net_1,tr]=train(net_1,P,T);
; c8 i; r6 V5 `+ ]# A, f%  对 BP 网络进行仿真
A = sim(net_1,P);
%  计算仿真误差
3 [1 z: _  G/ x  A2 nE = T - A;
' p/ X5 Z% I3 K1 J9 `4 NMSE=mse(E)
  q( s- G; N' h' a; \* ~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
1 [, L* m: \, Qsim(net_1,x)
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 。
1 r. `& t8 @% I- o; h4 `% q

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。