different result is obtained for the same input using self-organizing map
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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);
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Greg Heath
2012 年 3 月 3 日
Initialize the random number generator to the same intial state; otherwise the results will be different.
Hope this helps.
Greg
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Mahmoud ELKAFAFY
2019 年 10 月 14 日
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.
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