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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];7 H. q" O# W2 p9 @! r
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];$ F, O, r; o5 z* | m
% 创建一个新的前向神经网络
3 B K! s( u6 ~& g. Qnet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
; u) b/ Q/ A2 i0 _' r" O% 当前输入层权值和阈值
7 z% J. B$ a4 ?. h+ s2 M+ CinputWeights=net_1.IW{1,1}# H. o& M9 b7 Z( y, @
inputbias=net_1.b{1}
( G$ z( b' y7 R) g' A% 当前网络层权值和阈值# [0 P M( {3 _% E
layerWeights=net_1.LW{2,1}$ G8 ?: Y7 J7 z" a, I
layerbias=net_1.b{2}
' F! y8 T4 J8 {1 `: R9 Z% 设置训练参数
- J8 W$ U/ S2 o& N; }net_1.trainParam.show = 50;, s1 G, W; [9 H+ |* O+ m2 j
net_1.trainParam.lr = 0.05;. P( g# i! D: V& ]# |" E
net_1.trainParam.mc = 0.9;
1 x, U3 m' S9 q' }" V* tnet_1.trainParam.epochs = 10000;
* `+ K/ S! ?' `' J9 gnet_1.trainParam.goal = 1e-3;
5 O. V; [) j8 D+ N# C5 h% 调用 TRAINGDM 算法训练 BP 网络
$ V' `& ~. [! c" z[net_1,tr]=train(net_1,P,T);1 w9 [2 j! y+ K) x
% 对 BP 网络进行仿真5 g, c+ o ?: y
A = sim(net_1,P);- t; M( ~" X. j
% 计算仿真误差 $ }9 ]0 s5 G; f! d( g. ]8 a
E = T - A;
& x" K5 G A, x2 S" nMSE=mse(E)5 p; M. H- Z( u! }
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# u# X2 d3 P* t
sim(net_1,x)
' r! N. c& a! a# J6 f8 q- k/ v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 。 ^0 I ]* M) z
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