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Ô´³ÌÐò clear clc %ÔʼÊý¾Ý½øÐйéÒ»»¯´¦Àí p=[1 2 3 4 6 8 10 15 ]; t=[2 3 4 5 10 12 18 15]; [pn,minp,maxp,tn,mint,maxt]=premnmx(p,t); %½¨Á¢ÏàÓ¦µÄBPÍøÂç4 net=newff(minmax(pn),[2,1],{'tansig','purelin'},'trainlm'); %ѵÁ·ÍøÂç % ѵÁ·ÍøÂç net.trainParam.show=200; net.trainParam.lr=0.05; net.trainParam.mc=0.9; net.trainParam.epochs=200; net.trainParam.goal=1e-3; %µ÷ÓÃTRAINGDMË㷨ѵÁ·BPÍøÂç net=train(net,pn,tn); %%%% ¶ÔÆä²âÊÔÎó²î ÇóÎó²î %%%%%5555 [pn] = tramnmx(p,minp,maxp); an = sim(net,pn); [a] = postmnmx(an,mint,maxt); a ÏÖÔÚÎÒµÄÎÊÌ⣬ÈçºÎͨ¹ý±à³Ì ʹµÃÒþº¬²ãµ¥Ôª´Ó2 µ½7±ä»¯ net=newff(minmax(pn),[2,1],{'tansig','purelin'},'trainlm'); net=newff(minmax(pn),[3,1],{'tansig','purelin'},'trainlm'); net=newff(minmax(pn),[4,1],{'tansig','purelin'},'trainlm'); net=newff(minmax(pn),[5,1],{'tansig','purelin'},'trainlm'); net=newff(minmax(pn),[6,1],{'tansig','purelin'},'trainlm'); net=newff(minmax(pn),[7,1],{'tansig','purelin'},'trainlm'); Õâ¸ö³ÌÐòÓ¦¸ÃÔõô±àд£¿ ÔËÐеĽá¹ûÓÃÒ»¸öÊý×é ±íÊö³öÀ´£¿ |
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½ð³æ (³õÈëÎÄ̳)
- Ó¦Öú: 0 (Ó×¶ùÔ°)
- ½ð±Ò: 963.1
- Ìû×Ó: 13
- ÔÚÏß: 21.2Сʱ
- ³æºÅ: 850549
- ×¢²á: 2009-09-17
- רҵ: »·¾³±ä»¯ÓëÔ¤²â
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Сľ³æ(½ð±Ò+0.5):¸ø¸öºì°ü£¬Ð»Ð»»ØÌû½»Á÷
nono2009(½ð±Ò+2,VIP+0):г洦ŮÌù£¡¹ÄÀø½»Á÷£¡ 9-22 23:17
Сľ³æ(½ð±Ò+0.5):¸ø¸öºì°ü£¬Ð»Ð»»ØÌû½»Á÷
nono2009(½ð±Ò+2,VIP+0):г洦ŮÌù£¡¹ÄÀø½»Á÷£¡ 9-22 23:17
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net=newff(minmax(pn),[2,1],{'tansig','purelin'},'trainlm');¸ÄΪ net=newff(minmax(pn),[1,2,1],{'tansig','purelin','tansig'},'trainlm'); |
2Â¥2009-09-22 23:01:07














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