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ÌáǰÖÕÖ¹·¨Ô´³ÌÐò p = [-1:0.05:1]; t0=sin(2*pi*p) t = sin(2*pi*p)+0.1*randn(size(p)); val.P = [-0.975:.05:0.975]; val.T = sin(2*pi*val.P)+0.1*randn(size(val.P)); net=newff([-1 1],[20,1],{'tansig','purelin'},'traingdx'); net.trainParam.show = 25; net.trainParam.epochs = 300; net = init(net); [net,tr]=train(net,p,t,[],[],val); ÔËÐÐ TRAINGDX, Epoch 0/300, MSE 2.62146/0, Gradient 4.55555/1e-006 TRAINGDX, Epoch 25/300, MSE 0.784865/0, Gradient 1.39597/1e-006 TRAINGDX, Epoch 50/300, MSE 0.140755/0, Gradient 0.335129/1e-006 TRAINGDX, Epoch 70/300, MSE 0.0409369/0, Gradient 0.0956265/1e-006 TRAINGDX, Validation stop. ÉÏÊö [net,tr]=train(net,p,t,[],[],val); ¹¦ÄÜÊǸÉʲô £¿£¿ ÆäÖÐ[]Öдú±íʲôÒâ˼£¿ ÈçºÎÇó³ö È·ÈÏÎó²î £¿ ÓëѵÁ·Îó²î£¿ |
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