Newsgroups: comp.ai.neural-nets
Path: utzoo!utgpu!watserv1!ssingh
From: ssingh@watserv1.waterloo.edu (The Sanj-Machine aka Ice)
Subject: continuous vs discrete values for weights
Message-ID: <1991Feb2.001242.3473@watserv1.waterloo.edu>
Organization: University of Waterloo
Date: Sat, 2 Feb 91 00:12:42 GMT
Lines: 18

Could someone tell me if there is any significant difference regarding the
properties of neural networks with a finite set of states for connection
strengths as opposed to continuous values. Which is more biologically
accurate?

I always thought that neurons assume one of a finite set of strengths. It
is just that it is a very large set, so from our vantage point it
appears continuous. I would like to explore the dynamical properties of
nonlinear neural networks, so this is important.

Thanks in advance for your time.


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