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
% P3 |0 g. X) ~& D' X7 ^% |# }. Wnet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
%  当前输入层权值和阈值
9 n3 f6 |1 ^5 U& y$ g( minputWeights=net_1.IW{1,1}
inputbias=net_1.b{1}
%  当前网络层权值和阈值
# S% U: ^# H: Z  ^& ~5 @  W! {layerWeights=net_1.LW{2,1}
layerbias=net_1.b{2}
0 |  X+ z% y9 _  Q- W%  设置训练参数
% a0 ?+ J. [3 R' F$ k+ hnet_1.trainParam.show = 50;
: L! p) \& ^- a) ?net_1.trainParam.lr = 0.05;
net_1.trainParam.mc = 0.9;
% I( s5 D; D1 i# Z0 |6 \% v' ]8 Snet_1.trainParam.epochs = 10000;
+ \& p  k% i/ y/ p6 Hnet_1.trainParam.goal = 1e-3;
# C* ]' d3 N" V& o( g%  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
3 _' h3 B, H6 _' C' }; n* l' L  cA = sim(net_1,P);
* l: A/ w0 }& k4 A: U# v%  计算仿真误差
+ [% }7 X) y3 |, XE = 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
6 T" W# Q0 m" w0 b8 csim(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 。

小青菜

看上去好烦哦

zhou2yong888

看不懂·····

fffffffddf

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

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。