2-17.m

《神经网络理论与Matlab R2007实现》（程序代码）

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);
%进行训练
%训练次数为10
net.trainParam.epochs = 10;
net = train(net,P);
plot(P(1,:),P(2,:),'.g','markersize',20);
hold on;
%绘制训练后神经元的位置
plotsom(net.iw{1,1},net.layers{1}.distances);
hold off;
figure;
%训练次数为25
%训练前进行初始化
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;