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p=[ ]; t=[ ]; [pn,minp,maxp]=premnmx(p); [tn,mint,maxt]=premnmx(t); net=newff(minmax(pn),[5,1],{'tansig','purelin'},'trainlm'); net.trainParam.epochs=2000; net.trainParam.goal=1e-5; net=train(net,pn,tn); inputWeights=net.IW{1,1} inputBias=net.B{1} layerWeights=net.LW{2,1} layerBias=net.B{2} a=sim(net,pn); y=postmnmx(a,mint,maxt) E=y-t; MSE=mse(E) echo off pause clc ÕâÊÇͬѧдµÄÒ»¸öMatlab³ÌÐò£¬¹ØÓÚBPÈ˹¤Éñ¾ÍøÂçµÄ£¬Ç°Ã滹ÄÜ¿´¶®£¬°ÑÁ½¸ö¾ØÕóÊäÈ룬£Ð£¬£Ô¡£Ö®ºó½¨Á¢ÍøÂ磬ѵÁ·ÍøÂ磬²âÊÔÍøÂ磬֮ºóµÄ³ÌÐòÈçÏ£¬ÎҾͲ»ÖªµÀÿ¾äÓïÑÔʲôÒâ˼£¬ÊÇΪÁËʲôÁË£¿×îºóÊÇ·ñ¿ÉÒÔÄâºÏ³ö£Ð£¬£ÔÖ®¼äµÄ·½³Ì¹ØÏµÄØ£¿ÇëÖªµÀµÄÅóÓѲ»Áߴͽ̣¬ÔÚ´ËÏÈл¹ýÁË£¡ inputWeights=net.IW{1,1} inputBias=net.B{1} layerWeights=net.LW{2,1} layerBias=net.B{2} a=sim(net,pn); y=postmnmx(a,mint,maxt) E=y-t; inputWeights = -22.9726 -8.7862 -22.3638 -15.6721 -10.8787 15.0537 -15.1881 14.5200 -0.6975 -9.5565 6.3260 0.1778 -5.3363 -0.0671 -0.7975 -0.1910 0.0255 -38.0794 38.3522 15.1408 -0.1763 15.4782 14.6513 -10.2823 1.8507 0.3361 -0.0245 0.2974 3.2154 0.1128 0.8411 0.2689 -10.6646 4.1729 -15.9297 31.9932 29.3572 32.2162 -31.3814 -29.4435 inputBias = -24.1565 -8.0054 -16.6976 0.5623 22.3937 layerWeights = 0.0966 -0.4004 -0.2790 0.2978 0.1129 layerBias = -0.0811 y = Columns 1 through 10 99.1039 99.4159 99.4926 99.4736 98.6878 98.6135 99.2976 99.4545 99.3613 97.5330 Columns 11 through 20 99.4792 98.6530 99.0905 97.5171 99.5342 99.5275 98.9825 98.7439 99.4544 97.5147 Columns 21 through 30 99.3120 98.6993 98.9761 99.5732 97.5752 99.5834 99.4562 98.9081 99.0795 98.8758 Columns 31 through 40 99.1891 99.4911 99.4662 98.2656 99.3682 99.4381 98.6138 99.2973 99.4348 99.2990 Columns 41 through 48 99.4339 99.3948 99.4653 99.4315 99.4315 99.4315 99.4315 99.4315 ÕâÊÇÔËÐд¦µÄ½á¹û£¬¶¼Ê²Ã´Òâ˼°¡£¿ÍêÈ«²»¶®¡£ |
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