The performance of hidden neurons

1 次查看(过去 30 天)
Hi all,
after several runs of the neural network to select the optimum number of hidden neurons, I found that the performance changes when the HN are within a loop rather than when it was taken one by one. why ?
thank you for your help

采纳的回答

Greg Heath
Greg Heath 2016-8-1
I do not understand your problem. However if you want to see examples of searching for the optimal (e.g., smallest) value of hidden nodes that will yield a specified performance, see some of my zillion examples.
Search both the NEWSGROUP and ANSWERS using
greg Hmin dH Hmax
Hope this helps.
THank you for formally accepting my answer
Greg
  3 个评论
Greg Heath
Greg Heath 2016-8-3
I don't understand. Please post code.
Greg
Greg Heath
Greg Heath 2018-8-16
Oh! … If you mean that you are getting different weight values from different random initializations, that is to be expected. There are an uncountable number of weight combinations and permutations that will yield acceptably small answers.
Greg

请先登录,再进行评论。

更多回答(1 个)

Greg Heath
Greg Heath 2019-2-10
编辑:Greg Heath 2019-2-10
I think I misinterpreted the question. Now I think you mean when I increase the number of hidden nodes from 4 to 5 why do I start the H=5 from scratch rather than just add a new node to either all or just the better H=4 solutions?
ANSWER: It is easier and faster.
That was good enough for me.
If you want to make a convincing TIME AND ERROR comparison of the two techniques, please use MATLAB datasets and alert me when you post it.
Greg

类别

Help CenterFile 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!

Translated by