function HOPFnet2()
nntwarn off
T=[1 1;-1 1;-1 -1];
%建立網絡，并且得到偏值和權值
[w,b]=solvehop(T)
%使用原始平衡點仿真網絡
y=simuhop(T,w,b)
%使用一個隨機點仿真網絡，并繪制其達到穩定點的軌跡
a=rands(3,1);
[y,yy]=simuhop(a,w,b,20);
figure;axis([-1 1 -1 1 -1 1]);
set(gca,'box','on');axis manual;
hold on;plot3(T(1,:),T(2,:),T(3,:),'r*');
hold on;
plot3(yy(1,1),yy(2,1),yy(3,1),'bx',yy(1,:),yy(2,:),yy(3,:));
xlabel('T(1),a(1)');ylabel('T(2),a(2)');zlabel('T(3),a(3)');view([37.5,30]);

figure;color='rgbmy';
axis([-1 1 -1 1 -1 1]);set(gca,'box','on');
xlabel('T(1),a(1)');ylabel('T(2),a(2)');zlabel('T(3),a(3)');view([37.5,30]);
axis manual;
hold on;
plot3(T(1,:),T(2,:),T(3,:),'r*');
hold on;
for i=1:10
    a=rands(3,1);
    [y,yy]=simuhop(a,w,b,20);
    plot3(yy(1,1),yy(2,1),yy(3,1),'kx',yy(1,:),yy(2,:),yy(3,:),color(rem(i,5)+1));
    drawnow
end