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haomeng12гæ (СÓÐÃûÆø)
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ÇóÖú¸÷λ¸ßÊÖ£¬ÏÂÃæ³ÌÐòÖУ¬Êý¾Ý²»Ì«Çå³þ£¬ÄÜ·ñÓÐÈ˸æÖª'data.txt'ÖеÄÊý¾Ý¼¸Ðм¸ÁУ¿ÎÒ×Ô¼ºÊäÉÏÁË45ÐÐ14ÁУ¬³ÌÐòÔËÐкó£¬ÀÏÊdzöÏÖ¡°Index exceeds matrix dimensions¡± ³ÌÐòÈçÏ£º clear all close all p=textread('data.txt'); p1=p'; t=p1; [pn,minp,maxp,tn,mint,maxt] = premnmx(p1,t); p_train=[pn(1,:);pn(2,:);pn(3,:);pn(4,:);pn(5,:);pn(6,:);pn(7,:);pn(8,:);pn(9,:);pn(10,:);pn(11,:);pn(12,:);pn(13,:);... pn(14,:);pn(15,:);pn(16,:);pn(17,:);pn(18,:);pn(19,:);pn(20,:);pn(21,:);pn(22,:);pn(23,:);pn(24,:);pn(25,:);pn(26,:);pn(27,:);... pn(28,:);pn(29,:);pn(30,:);pn(31,:);pn(32,:);pn(33,:);pn(34,:);pn(35,:);pn(36,:);pn(37,:);pn(38,:);pn(39,:)]' t_train=[pn(2,:);pn(3,:);pn(4,:);pn(5,:);pn(6,:);pn(7,:);pn(8,:);pn(9,:);pn(10,:);pn(11,:);pn(12,:);pn(13,:);pn(14,:);pn(15,:);pn(16,:);... pn(17,:);pn(18,:);pn(19,:);pn(20,:);pn(21,:);pn(22,:);pn(23,:);pn(24,:);pn(25,:);pn(26,:);pn(27,:);pn(28,:);pn(29,:);pn(30,:);... pn(31,:);pn(32,:);pn(33,:);pn(34,:);pn(35,:);pn(36,:);pn(37,:);pn(38,:);pn(39,:);;pn(40,:)]'; save p_train save t_train threshold=minmax(p_train); %´´½¨ÍøÂç net=newff(threshold,[12,25,12],{'tansig','tansig','purelin'},'trainlm'); %ÏÂÃæÊ¹ÓÃÒÅ´«Ëã·¨¶ÔÍøÂç½øÐÐÓÅ»¯ P=p_train; T=t_train; R=size(P,1); S2=size(T,1); S1=25;%Òþº¬²ã½ÚµãÊý S=R*S1+S1*S2+S1+S2;%ÒÅ´«Ëã·¨±àÂ볤¶È aa=ones(S,1)*[-1,1]; popu=50;%ÖÖȺ¹æÄ£ initPpp=initializega(popu,aa,'gabpEval');%³õʼ»¯ÖÖȺ gen=100;%ÒÅ´«´úÊý %ÏÂÃæµ÷ÓÃgaot¹¤¾ßÏ䣬ÆäÖÐÄ¿±êº¯Êý¶¨ÒåΪgabpEval [x,endPop,bPop,trace]=ga(aa,'gabpEval',[],initPpp,[1e-6 1 1],'maxGenTerm',gen,... 'normGeomSelect',[0.09],['arithXover'],[2],'nonUnifMutation',[2 gen 3]); %»æÊÕÁ²ÇúÏßͼ figure(1) plot(trace(:,1),1./trace(:,3),'r-'); hold on plot(trace(:,1),1./trace(:,2),'b-'); xlabel('Generation'); ylabel('Sum-Squared Error'); figure(2) plot(trace(:,1),trace(:,3),'r-'); hold on plot(trace(:,1),trace(:,2),'b-'); xlabel('Generation'); ylabel('Fittness'); %ÏÂÃæ½«³õ²½µÃµ½µÄȨֵ¾ØÕ󸳸øÉÐδ¿ªÊ¼ÑµÁ·µÄBPÍøÂç [W1,B1,W2,B2,P,T,A1,A2,SE,val]=gadecod(x); net.LW{2,1}=W1; net.LW{3,2}=W2; net.b{2,1}=B1; net.b{3,1}=B2; XX=P; YY=T; %ÉèÖÃѵÁ·²ÎÊý net.trainParam.show=10; net.trainParam.lr=0.05; net.trainParam.epochs=7000; net.trainParam.goal=0.01; %ѵÁ·ÍøÂç net=train(net,p_train,t_train); p_test=[pn(40,:)]'; T=sim(net,p_test); a = postmnmx(T',mint(41,1),maxt(41,1)); number=round(a); error=p1(41,:)-number; time=[1 2 3 4 5 6 7 8 9 10 11 12]; plot(time,number,'ro--'); hold on plot(time,p1(41,:),'gd-') hold on plot(time,error) legend('red is yuce','green is actual','blue is error'); title('time(month)') |
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