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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];
: [5 R3 i o- Z" _3 dT=[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];
1 \& J! U( N4 F9 J2 O! K( h% 创建一个新的前向神经网络
& S$ j- d( r3 _- P# k$ l1 U$ Hnet_1=newff(minmax(P),[10,1],{'tansig','purelin'},'traingdm')
) Z& e. B( v8 c6 h" X1 u* E4 F% s+ E1 F% 当前输入层权值和阈值
/ d+ b3 h% S8 F* C- qinputWeights=net_1.IW{1,1}
& O; F: L, o! D! G: e8 a+ ]0 |inputbias=net_1.b{1}* `, T: a7 x9 m0 _$ {
% 当前网络层权值和阈值
$ A1 d0 H2 f, p. G" ~' r3 `layerWeights=net_1.LW{2,1}4 Y5 E' E* \) v0 v& I
layerbias=net_1.b{2}8 |1 F& e3 I2 @: r" [6 V5 g
% 设置训练参数
' ~% k+ W' w- O" ~, Y4 _$ lnet_1.trainParam.show = 50;$ A- Z8 R- h7 K6 Z. S, j
net_1.trainParam.lr = 0.05;" e& S( M* ~( g7 |) u7 e0 A5 `
net_1.trainParam.mc = 0.9;
1 `' B f: p# d9 ^) U1 s( A6 unet_1.trainParam.epochs = 10000;9 A; [: {( Y$ N; ~" a& D; r
net_1.trainParam.goal = 1e-3;0 e9 v8 S K6 ]2 v' T- O
% 调用 TRAINGDM 算法训练 BP 网络/ k5 E$ K0 M7 z" \
[net_1,tr]=train(net_1,P,T);- p) O+ ?2 l" U8 `, S
% 对 BP 网络进行仿真
8 [+ T c; H" h% i1 _$ _- TA = sim(net_1,P);. s' g4 `6 H: w& a; O
% 计算仿真误差
; l1 f0 Z" _' }! I- ]E = T - A;0 L2 k& a. B ^1 w% k" ?: u+ Q
MSE=mse(E)
! l) e# |, i! s3 ]* px=[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
2 S$ v8 L/ ^) S% ?5 J- c; ksim(net_1,x) 9 y+ _! n( X# I( P2 A+ O
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 。
$ i. O, `1 K A/ f# i |
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