# of neurons in Hidden layer.
Posted 14 October 2005 - 03:58 AM
I am trying to build a classification problem solution using ANN. I have to select one of six different choices hence I am using 6 neurons in the output layer while four inputs allow for four neurons in the input layer.
Hidden Layer: Now here I just want to have two neurons(for simplicity). Are 2 neurons enough(4-2-6 ANN)? Or should I have more neurons in the hidden layer aswell for proper results.
In general is there a criteria by which one should decide the number of neurons in hidden layer.
Thank you in advance.
Posted 14 October 2005 - 12:41 PM
Posted 28 December 2005 - 01:05 PM
Posted 28 December 2005 - 06:09 PM
I'm not sure you can call my approach academic, and it doesn't always work out the way I think it will, but I try to break down the learning process into steps, and start my network with a neuron for every step (not counting the input and output layers.) The arrangement isn't necessarily a linear one though - that is to say, you'll usually find some steps need to be made concurrently. Other steps that appear to be a single evaluation point, end up being multiple evaluation points (the reverse is also sometimes true.) Then tweak until it works
A word of warning about my advice though, I tend to be a little to boolean about things, overtrain, and spend a lot of time reinventing the wheel.
There is surprisingly little literature available on ANNs, at least that is understandable by a reasonably well-educated lay person.
Posted 15 January 2006 - 06:07 PM
Posted 15 January 2006 - 06:30 PM
Posted 18 January 2006 - 08:30 AM
Posted 18 January 2006 - 02:37 PM
sqrt(6*4) = 4.8989794855663561963945681494118 ;)
Posted 04 March 2006 - 08:34 AM
Posted 06 March 2006 - 10:30 PM
Posted 12 March 2006 - 10:55 AM
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