Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!helios!cs.tamu.edu
From: guansy@cs.tamu.edu (Sheng-Yih (Stanley) Guan)
Newsgroups: comp.ai.neural-nets
Subject: Re: Backpropagation...  What is it?
Message-ID: <10087@helios.TAMU.EDU>
Date: 14 Nov 90 23:56:24 GMT
Sender: usenet@helios.TAMU.EDU
Organization: Computer Science Department, Texas A&M University
Lines: 23

>The Subject says it all.  Could someone please give me a brief, general
>description of the concept of back-propagation?
> 
>Steve L Vissage II


A problem that once plagued error-correction learning Artificial Neural
Systems was their inability to extend learning beyond a two-layer ANS.
Specifically, the amount of error each hidden layer processing element
should be credited for the ouput processing elements' errors was not
defined.  Fortunately this problem, known as the credit assignment
						 ^^^^^^^^^^^^^^^^
problem has been solved by using backpropagation algorithm.
^^^^^^^

Quoted from Artificial Neural Systems by P. K. Simpson
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