pca2
train_input=[X(1:40,:);X(51:90,:);X(101:140,:)]';
train_output=[y(1:40,:);y(51:90,:);y(101:140,:)]';
test_input=[X(41:50,:);X(91:100,:);X(141:150,:)]';
test_output=[y(41:50,:);y(91:100,:);y(141:150,:)]';
net=feedforwardnet([6,3]);
net=train(net,train_input,train_output)
vysl=net(test_input)
figure
scatter(1:30,test_output)
hold on
scatter(1:30,vysl,'r')
var(vysl-test_output)
train_input=[Z(1:40,:);Z(51:90,:);Z(101:140,:)]';
train_output=[y(1:40,:);y(51:90,:);y(101:140,:)]';
test_input=[Z(41:50,:);Z(91:100,:);Z(141:150,:)]';
test_output=[y(41:50,:);y(91:100,:);y(141:150,:)]';
net=feedforwardnet([6,3]);
net=train(net,train_input,train_output)
vysl2=net(test_input)
figure
scatter(1:30,test_output)
hold on
scatter(1:30,vysl,'r')
var(vysl2-test_output)