Path: utzoo!attcan!uunet!dino!sharkey!itivax!dhw
From: dhw@itivax.iti.org (David H. West)
Newsgroups: comp.ai.neural-nets
Subject: Re: NN and Bayesian Belief Nets
Message-ID: <4454@itivax.iti.org>
Date: 21 Nov 89 15:51:25 GMT
References: <1148@uwm.edu>
Reply-To: dhw@itivax.UUCP (David H. West)
Organization: Industrial Technology Institute
Lines: 16

In article <1148@uwm.edu> rupen@csd4.csd.uwm.edu (Rupen Dinesh Sheth) writes:
|I am new in the area of neural nets.  I am trying to compare the neural net
|approach to the Bayesian Net approach (by Judea Pearl).
|
|Has anyone worked on this before?  Is it true that single layer neural nets
|can perform similar to Bayesian belief networks, and if so has anyone done some
|theoretical work on it.

Typical 'neural net' neurons have an internal state that is
characterised by a single scalar, and they perform a scalar
calculation (on which some setups impose the complication of
back-propagation, in which the links have a scalar state).  Pearl's 
nodes must store a multi-dimensional matrix, and transmit vector
messages over their links.

-David West         dhw@itivax.iti.org