program takes long time to run

I have a code below,which takes long time to run,can u tell how to process please....

Gout is my input which contains 990 rows and 4 colomns of data(990*4)

    Ng=Gout
  hidden_neurons =6;
        epochs = 100;
      wait_l = epochs*Nf;
       wait_i = 0;
        %h = waitbar(0,'Training Neural Network');
        for i = 1:Nf
            st = (i-1)*round(size(Traindata,1)/Nf)+1;
            en = i*round(size(Traindata,1)/Nf);
            if en>size(Traindata,1)
                en=size(Traindata,1);
            end
        train_inp = [Traindata(1:st-1,:);Traindata(en+1:end,:)];
        train_out = [Trainlabel(1:st-1,:);Trainlabel(en+1:end,:)];
        test_inp = Traindata(st:en,:);
        [Predicted,wait_i] = Neural1(hidden_neurons, epochs, train_inp, train_out, test_inp, wait_l, wait_i);

        Training_error_NN(i,:) = sum(abs(Predicted-Trainlabel(st:en,:)));
        Training_acc_NN(i,:) = accuracy(Predicted,Trainlabel(st:en,:));

        end
    %    close(h); 
        pause(1);
        %wait_i = 0;
        %h = waitbar(0,'Testing Neural Network');

        for i = 1:Nf
            st = (i-1)*round(size(Testdata,1)/Nf)+1;
            en = i*round(size(Testdata,1)/Nf);
            if en>size(Testdata,1)
                en=size(Testdata,1);
            end
        train_inp = Traindata;
        train_out = Trainlabel;
        test_inp = Testdata(st:en,:);
        [Predicted,wait_i] = Neural1(hidden_neurons, epochs, train_inp, train_out, test_inp, wait_l, wait_i);

        Testing_error_NN(i) = sum(abs(Predicted-Testlabel(st:en,:)));
        Testing_acc_NN(i) = accuracy(Predicted,Testlabel(st:en,:));

        (Testing_acc_NN')
        (Testing_error_NN')
        result=[fc1 Testing_acc_NN' Testing_error_NN']
        end
       % close(h);
        pause(1);

[Naz]

It takes long time to read too

[FIR]

Naz provide some suggestion

Answer 1

[Robert Cumming]

you have 2 "pause" commands in the code - any idea how many times they are called?

Have you used the profiler?

profile on     % then run your code
profile viewer

That will show you were your code is taking the most time.

Answer 2

[Lulu]

If Nf is large, then try to vectorize FOR loop.

[Jan]

I wouldn't do this. The creation of large temporary arrays is usually more time-consuming than the accleration by the vectorization. The vectorization is helpful, if the data are available as arrays already.