different result is obtained for the same input using self-organizing map

I used Neural Network Toolbox to train a self-organizing map for a given data set. I found that each run gave me a quite different result, like different "sample hits map". How to understand this difference? I just followed the standard routine, like

net = selforgmap([8 8]);
net = train(net, testInput);

Answer 1

[Greg Heath]

Initialize the random number generator to the same intial state; otherwise the results will be different.

Hope this helps.

Greg

[Mahmoud ELKAFAFY]

But, if you change the initialization of random number generator (e.g., rng(7) instaed of rng(3) for insatance), you will still get different results.