fun_test4.m

人工神经网络资料

%绘制指数函数曲线
close all
clear all
p=-1:0.05:1;
t=exp(-p);

%建立并训练网络
%绘制网络的逼近效果
net=newff(minmax(p),[3  1],{'logsig' 'purelin'},'traingdx','learngd');
net.performFcn = 'mse';
net.trainParam.goal = 0.00001;
net.trainParam.lr=0.01;
net.trainParam.show = 100;
net.trainParam.epochs = 500;
[net,tr] = train(net,p,t);
y=sim(net,p);
figure(1)
plot(p,t,'',p,y,'o');
grid;
title('exponential function');
xlabel('x');
ylabel('y');
%绘制网络的最佳逼近误差