different result is obtained for the same input using self-organizing map
显示 更早的评论
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);
回答（1 个）
Greg Heath
2012-3-3
0 个投票
Initialize the random number generator to the same intial state; otherwise the results will be different.
Hope this helps.
Greg
1 个评论
Mahmoud ELKAFAFY
2019-10-14
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.
类别
在 帮助中心 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息
2019-10-14
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
