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kelvinlaw

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nono2009(½ð±Ò+0,VIP+0):Çë²»Òª¹àË®£¡Ð³æÔ­ÁÂÒ»´Î£¬Ï´ÎÒª¿Û½ð±ÒÁË¡£ 10-29 16:18
2Â¥2009-10-29 16:12:20
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nono2009

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No gains, no pains.

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ÔÚ×îеÄmatlabµÄneural network toolboxÀ¥Ö÷µÄÕâЩÎÊÌâ¶¼¿ÉÒÔ½â¾ö»ò²¿·Ö½â¾ö¡£
3Â¥2009-10-29 16:20:55
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hitzhang

ľ³æ (ÕýʽдÊÖ)

¡ï
nono2009(½ð±Ò+1,VIP+0):ллר¼Ò£¡ 10-29 19:17
>>nntool
4Â¥2009-10-29 18:08:56
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yujunhui

Òø³æ (ÖøÃûдÊÖ)

¡ï ¡ï ¡ï
Сľ³æ(½ð±Ò+0.5):¸ø¸öºì°ü£¬Ð»Ð»»ØÌû½»Á÷
nono2009(½ð±Ò+2,VIP+0):ºÜÏêϸ£¡ºÜºÃ£¡Ð»Ð»½»Á÷¡£ 10-29 23:20
Éñ¾­ÍøÂçµÄÖÖÀà ¶àÁË
²»ÖªµÀÄãÒª¶¨ÒåÄÇÖÖ
ÏÈÔÚÒÔBPÍøÂçΪÀý×Ó
p = [-1 -1 2 2;0 5 0 5];
t = [-1 -1 1 1];
net=newff(minmax(p),[3,1],{'tansig','purelin'},'traingda');
net.trainParam.show = 50;
net.trainParam.lr = 0.05;
net.trainParam.lr_inc = 1.05;
net.trainParam.epochs = 300;
net.trainParam.goal = 1e-5;
[net,tr]=train(net,p,t);
   a = sim(net,p)


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TRAINGDA, Epoch 0/300, MSE 1.71149/1e-05, Gradient
2.6397/1e-06
   TRAINGDA, Epoch 44/300, MSE 7.47952e-06/1e-05, Gradient
0.00251265/1e-06
   TRAINGDA, Performance goal met.

a =
   -1.0036   -0.9960    1.0008    0.9991

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5Â¥2009-10-29 23:18:23
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kelvinlaw

½ð³æ (СÓÐÃûÆø)

nono2009(½ð±Ò+0,VIP+0):¿ÉÒÔ×Ô¶¨ÒåµÄ¡£²éÒ»ÏÂmatlabµÄhelp. 11-1 14:31
ÒýÓûØÌû:
Originally posted by yujunhui at 2009-10-29 23:18:
Éñ¾­ÍøÂçµÄÖÖÀà ¶àÁË
²»ÖªµÀÄãÒª¶¨ÒåÄÇÖÖ
ÏÈÔÚÒÔBPÍøÂçΪÀý×Ó
p = [-1 -1 2 2;0 5 0 5];
t = [-1 -1 1 1];
net=newff(minmax(p),[3,1],{'tansig','purelin'},'traingda');
net.trainParam.show = 50;
ne ...

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6Â¥2009-11-01 09:04:51
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Ïà¹Ø°æ¿éÌø×ª ÎÒÒª¶©ÔÄÂ¥Ö÷ kelvinlaw µÄÖ÷Ìâ¸üÐÂ
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