Nothing is wrong...it is a simple problem that only requires 2 or 3 epochs to obtain 0 error. You just didn't follow through.
close all, clear all, clc
% NOTE: Remove end semicolons to monitor outputs
P = [-3 -2 -2 0 0 0 0 2 2 3; 0 1 -1 2 1 -1 -2 1 -1 0]
Tc = [1 1 1 2 2 2 2 1 1 1]
T = ind2vec(Tc)
targets = full(T)
net = newlvq(minmax(P),4,[.6 .4]); % Old Version
% With no training
IW = net.IW{1,1}
LW = net.LW{2,1}
b = net.b(1,:)
Y = sim(net,P)
Yc = vec2ind(Y)
% ... Yc = [ 1 1 1 1 1 1 1 1 1 1 ]
% resulting in a classification error of 40%
%Training with defaults
net = train(net,P,T);
% Converges in 3 epochs
IW = net.IW{1,1}
LW = net.LW{2,1}
b = net.b(1,:)
Y = sim(net,P)
Yc = vec2ind(Y)
% ... Yc = [ 1 1 1 2 2 2 2 1 1 1 ]
% resulting in a classification error of 0% !!!
Hope this helps.
Greg
