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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];
" \/ a' p& {, ~1 ^) hT=[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];, w3 y- b. F) n$ L) g- h7 x( l6 ~
% 创建一个新的前向神经网络
/ W2 |$ V3 j+ ]) D, h3 K* @) onet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
& s1 `0 o" k2 n# Z5 ?% 当前输入层权值和阈值/ F: _0 O& @( f9 V+ c7 n' r r; U
inputWeights=net_1.IW{1,1}
5 D0 E9 S) H' f8 g% K8 \* C9 s, `inputbias=net_1.b{1}2 V% x7 y- }9 D3 {: V
% 当前网络层权值和阈值
' D. i; J6 @# i: W$ _layerWeights=net_1.LW{2,1}
; W: ^" i' O/ N4 Olayerbias=net_1.b{2}4 N) k/ x$ ?% U/ z
% 设置训练参数% s* V! R ]0 ?( b0 c
net_1.trainParam.show = 50;+ N2 l3 {: ?3 z9 B5 G# z+ G9 H- f
net_1.trainParam.lr = 0.05;+ f5 H8 T+ \+ T2 _! ?7 J5 F2 f
net_1.trainParam.mc = 0.9;7 o5 a( ~: ~, v
net_1.trainParam.epochs = 10000;9 v! o. b& t8 R$ x
net_1.trainParam.goal = 1e-3;
& r7 w4 g, H% r5 R( G% 调用 TRAINGDM 算法训练 BP 网络0 i$ ?& v3 U8 ^
[net_1,tr]=train(net_1,P,T);" y6 i T& p2 v1 U; i3 g4 X
% 对 BP 网络进行仿真9 d9 a2 u! ?, Y* B. m
A = sim(net_1,P);- L, J9 Y* y* n4 Y7 T
% 计算仿真误差 1 A; n0 K. k( T
E = T - A; n% ?/ t& j+ k9 g" k; T. D& F
MSE=mse(E)
1 Z& W4 Z4 A- F* ~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
! m& E7 c+ H% x3 G- f) l Rsim(net_1,x)
0 T( v, N; g3 _: s- s8 k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 。
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