MATLAB源代码-神经网络.zip

%利用神经网络进行分类 clear all x=[1.24 1.36 1.38 1.38 1.38 1.40 1.48 1.54 1.56 1.14 1.18 1.20 1.26 1.28 1.30;... 1.72 1.74 1.64 1.82 1.90 1.70 1.82 1.82 2.08 1.78 1.96 1.86 2.0 2.0 1.96]; y=[1 1 1 1 1 1 1 1 1 0 0 0 0 0 0;... 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1]; xmin1=min(x(1,:)); xmax1=max(x(1,:)); xmin2=min(x(2,:)); xmax2=max(x(2,:)); %设定迭代次数 net.trainparam.epochs=10000; %网络初始化 net=newff([xmin1,xmax1;xmin2,xmax2],[8,8,8,8,2],{'tansig','logsig','logsig','tansig','tansig'}); %训练网络 [net,tr,y1,e]=train(net,x,y); X=[1.24 1.28 1.40;... 1.80 1.84 2.04]; %网络泛化 y2=sim(net,X) plot(x(1,1:9),x(2,1:9),'o',x(1,10:15),x(2,10:15),'*',X(1,:),X(2,:),'v') grid on