Number of Neurons in a model

Hi everyone,
I have another confusion
Is there any thumb rule or relation between number of neurons in hidden layer and input variables? suppose, I have a data set with 10 input variables. By hit and trial method, how many neurons maximum can I try? I understand that as number of neurons increase, correlation and mse also improves. But at same time, network gets overtrained. How can I be sure that I am not overtraining the network?
Thanks
Arijit

回答(1 个)

Ahmad Taher
Ahmad Taher 2012-1-19

1 个投票

Dear Colleague
If you have 10 input variables, I suggest to start with 10 neurons and try different numbers to 20 neurons and then select the best numbers with least MSE.

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2011-12-16

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