Increase SPEED of nested for loops???

This is my code, which use 6 for loops for generating a 6D array, where the data are taken using a neural network:

T = ones(g.size); %6D array
for ii = 1 : g.N(1) % 4
    for jj = 1 : g.N(2)  % 10
        for tt = 1 : g.N(3)  % 5
            for pp = 1 :g.N(4)  % 4
                for rr = 1 : g.N(5)  % 6
                    for ss = 1 : g.N(6)  % 2
                        
                        T(ii,jj,tt,pp,rr,ss) = sim(net,[g.data{1, 1}(ii);...
                                                        g.data{2, 1}(jj);...
                                                        g.data{3, 1}(tt);...
                                                        g.data{4, 1}(pp);...
                                                        g.data{5, 1}(rr);...
                                                        g.data{6, 1}(ss);...
                                                        1;
                                                        1;]);
                    end
                end
            end
        end
    end
end

There exist a way to reduce these for loops for reducing computational time?

Thanks in advance!

Answer 1

[Jan]

Use the profiler to find out, where the time is spent. If it is inside the sim() command, you have to modify this block, because the for loops arenot the problem.