don't use random train of som network
2 次查看(过去 30 天)
显示 更早的评论
train for som network use random method (the results differ for the same input data) thought its net.trainFcn = trainbu (not trainr). How to get the same results? I tried chaneged to trains but failed.
0 个评论
采纳的回答
Greg Heath
2014-11-7
If you initialize the random number generator to the same state, the results will be duplicated.
help rng
doc rng
Hope this helps.
Thank you for formally accepting my answer
Greg
2 个评论
Greg Heath
2014-11-9
If you enter the command
net = selforgmap %NO SEMICOLON
you can obtain all of the default properties and settings.
The result depends on the order of processing the points. Randomness mitigates the possibility of not finding a good solution provided you create enough independent designs. Just keep training a single design will probably not improve performance because you may be lying in a deep local min that is much higher than the global min.
Again, multiple designs with different random orderings is, in general, the best learning technique.
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Sequence and Numeric Feature Data Workflows 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!