how to get the best the number of hidden neurons and layers for a NARXNET?
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i want to know if there is a general way of choosing the correct or right number of hidden neurons and delays in a NARX to obtain the best training
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Greg Heath
2016 年 12 月 1 日
There are zillions of my posts in both the NEWSGROUP and ANSWERS that use the criterion
Ntrneq >= Nw %( number of training equations >= number of unknown weights )
to obtain an upper bound, Hub, on the number of hidden nodes that should be used without early stopping and/or regularization .
Search both using
greg narx Hub
or
greg narxnet Hub
Hope this helps.
Thank you for formally accepting my answer
Greg
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