net2.trainParam.lr = 0.05; net2.trainParam.epochs = 300; [net2, tr] = train(net2, xn, d); % establish output of neuron y = sim(net1,xn); diff = abs(d - y); % count number of incorrect classifications err = 0; for i = 1:10000 if diff(1,i) > 0.5

抱歉，此文档暂时无法提供完整预览，请免费下载后浏览。