signal_eeg.asv

%11/21 0%

i = 5;

task1 = data{11}{4};
t1 = task1(i,:);
t1 = t1(1:2500);
set = reshape(t1,100,25);

f1 = getfeatures(set);

task2 = data{21}{4};
t2 = task2(i,:);
t2 = t2(1:2500);
set = reshape(t2,100,25);

f2 = getfeatures(set);

t1 = [1 1 1 1 1];
t2 = [2 2 2 2 2];
P = [f1 f2];
%LVQ
Tc = [t1 t1 t1 t1 t1 t2 t2 t2 t2 t2];
T = ind2vec(Tc);
targets = full(T);

net = newlvq(minmax(P),4,[.5 .5]);
 
net.trainParam.epochs = 150;
net = train(net,P,T);

Y = sim(net,P);
Yc = vec2ind(Y);