新建文件夹 (2).rar_bp神经网络预测_新建文件夹2_神经网络预测

input_train=inputtrain; output_train=outputtrain; input_test=inputtest; output_test=outputtest; [inputn,inputps]=mapminmax(input_train); [outputn,outputps]=mapminmax(output_train); %net=newff(minmax(input_train),[8,6,1],{'tansig','tansig','purelin'},'trainlm'); net= newff(inputn,outputn, 6); net.trainParam.epochs = 50000; net.trainParam.lr=1; net.trainParam.goal=0.01; net=train(net,inputn,outputn); inputn_test=mapminmax('apply',input_test,inputps); an=sim(net,inputn_test); BPoutput=mapminmax('reverse',an,outputps); figure(1) plot(BPoutput,':og'); hold on; plot(output_test ,'-*'); legend('预测输出','期望输出'); title('BP网络预测输出','fontsize',12); ylabel('函数输出','fontsize',12); xlabel('样本','fontsize',12); error= BPoutput-output_test; figure(2) plot(error ,'-*'); title('BP网络预测误差','fontsize',12); ylabel('误差','fontsize',12); xlabel('样本','fontsize',12);