Bayesian regularization for RBFN

 Two groups of linearly inseparable data (A,B) are defined in the 2-dimensional input space. The task is to define a neural network for solving the XOR classification problem.
K = 100; % offset of clusters q = .6; % define 2 groups of input data A = [rand(1,K)-q rand(1,K)+q; rand(1,K)+q rand(1,K)-q]; B = [rand(1,K)+q rand(1,K)-q; rand(1,K)+q rand(1,K)-q]; % plot data plot(A(1,:),A(2,:),'k+',B(1,:),B(2,:),'b*') grid on hold on