c_2235.m

混沌神经网络模型

%绘制二元混沌神经网络的输出轨迹，寻找吸引子
k=-0.8;e1=0.27;a1=-0.5;a2=-0.2;a3=-0.2;w12=-0.6;
w13=-0.1;w21=0.2;w23=1.1;w31=-1.1;w32=-1.1;kk=1;
x=[1,2,3];
for w12=1.6:0.2:3.8
    y(1,1)=-0.75;
    y(2,1)=-1.0;
    y(3,1)=-1.0;
    subplot(3,4,kk);
  for i=1:1000
    x(1)=1/(1+exp(-y(1,1)/e1));
    x(2)=1/(1+exp(-y(2,1)/e1));
    x(3)=1/(1+exp(-y(3,1)/e1));
    y(1,2)=k*y(1,1)+w12*x(2)+w13*x(3)-x(1)+a1;
    y(2,2)=k*y(2,1)+w21*x(1)+w23*x(3)-x(2)+a2;
    y(3,2)=k*y(3,1)+w31*x(1)+w32*x(2)-x(3)+a3;
    y(1,1)=y(1,2);
    y(2,1)=y(2,2);
    y(3,1)=y(3,2);
    plot3(y(1,1),y(2,1),y(3,1));
    hold on;
  end
  kk=kk+1;
end