ANN Competitive Network with 2d animation
[W,b] = ann_COMPET_visualize2d(P,N) [W,b] = ann_COMPET_visualize2d(P,N,lr,lr_c,itermax)
Training input
Number of neurons in competition layer (Number of classes)
Learning rate
Learning Rate for bias (Conscience learning rate)
Maximum epoch for training
Output Weight
Output bias
Competitive network training algorithm with 2d animation
x = rand(2,10); x(:,1:5) = x(:,1:5) + 1; [W,b] = ann_COMPET_visualize2d(x,4); | ![]() | ![]() |