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westlifexp

Í­³æ (СÓÐÃûÆø)

[ÇóÖú] BPÉñ¾­ÍøÂçÔ¤²â´úÂë³öÏÖÎÊÌâ

СµÜ£¬Ê¹ÓÃBPÉñ¾­ÍøÂç½øÐÐÔ¤²â£¬ÒÔÏÂÊÇ´úÂ룬Âé·³°ïæ¿´¿´£º
%  ¶¨ÒåѵÁ·Ñù±¾
% P ΪÊäÈëʸÁ¿
P=[0.007,0.003,0.063,0.032,0.003;0.338,0.003,0.375,0.677,0.668;0.669,0.003,0.688,0.677,0.668;0.669,0.003,0.688,0.677,0.668;1,1,0.063,0.677,0.668];
% T ΪĿ±êʸÁ¿
T=[0.106,0.498,0.95;0.066,0.05,0.05;0.05,0.95,0.513;0.95,0.94,0.907];
%  ´´½¨Ò»¸öеÄǰÏòÉñ¾­ÍøÂç
net=newff(minmax(P),[10,3],{'tansig','purelin'},'traingdm')
%  µ±Ç°ÊäÈë²ãȨֵºÍãÐÖµ
inputWeights=net.IW{1,1}£»
inputbias=net.b{1}£»
%  µ±Ç°ÍøÂç²ãȨֵºÍãÐÖµ
layerWeights=net.LW{2,1}£»
layerbias=net.b{2}£»
%  ÉèÖÃѵÁ·²ÎÊý
net.trainParam.show = 50;
net.trainParam.lr = 0.001;
net.trainParam.mc = 0.9;
net.trainParam.epochs = 2000;
net.trainParam.goal = 1e-5;
%  µ÷Óà TRAINGDM Ë㷨ѵÁ· BP ÍøÂç
net=train(net,P,T);
%  ¶Ô BP ÍøÂç½øÐзÂÕæ
A = sim(net,P)£»
%  ¼ÆËã·ÂÕæÎó²î
E = T - A£»
MSE=mse(E)£»
figure£¬
plot((1:5),T,'-*',(1:5),A,'-o')£»

´íÎóÈçÏ£º
??? net.trainParam.lr = 0.001; ѧϰËÙÂÊ
                               |
Error: Missing variable or function.

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[ Last edited by westlifexp on 2012-12-26 at 18:26 ]
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