zizuzhijingzheng.m

根据神经网络的相关原理

P=[0.1 0.8 0.1 0.9;0.2 0.9 0.1 0.8];
net=newsom([0 2;0 1],[3 5]);
plotsom(net.layers{1}.positions);
net.trainParam.epochs=10;
net=train(net,P);
plot(P(1,:),P(2,:),'.g','markersize',20);
hold on;
plotsom(net.iw{1,1},net.layers{1}.distances);
hold off;
figure;
net=init(net);
net.trainParam.epochs=20;
net=train(net,P);
plot(P(1,:),P(2,:),'.g','markersize',20);
hold on;
plotsom(net.iw{1,1},net.layers{1}.distances);
hold off;