Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP
Path: utzoo!mnetor!seismo!husc6!rutgers!ames!ucbcad!ucbvax!COD.NOSC.MIL!SIMPSONP
From: SIMPSONP@COD.NOSC.MIL
Newsgroups: comp.ai.digest
Subject: ANS Survey Paper
Message-ID: <8704200303.AA18928@ucbvax.Berkeley.EDU>
Date: Sun, 19-Apr-87 22:03:16 EST
Article-I.D.: ucbvax.8704200303.AA18928
Posted: Sun Apr 19 22:03:16 1987
Date-Received: Mon, 20-Apr-87 01:39:53 EST
Sender: daemon@ucbvax.BERKELEY.EDU
Distribution: world
Organization: The ARPA Internet
Lines: 33
Approved: ailist@stripe.sri.com


      [Forwarded from the Neuron Digest by Laws@STRIPE.SRI.COM.]
 

              A Survey of Artificial Neural Systems
 
                     Patrick K. Simpson
 
                           Unisys
             San Diego Systems Engineering Center
                   4455 Morena Boulevard
                    San Diego, CA 92117
                        619/483-0900
 
 
                          Abstract
 
     This paper is a  survey  of  the  field  of  Artificial
Neural  Systems  (ANSs).  ANSs have a large number of highly
interconnected  processing  elements  that  demonstrate  the
ability  to  learn  and  generalize from presented patterns.
ANSs represent a possible solution to  previously  difficult
problems  in  areas  such  as  speech processing and natural
language understanding.  This paper presents a brief history
of ANSs, examples of ANS models and areas where the technol-
ogy has been applied.   Also  discussed  is  the  connection
between  Artificial  Intelligence  (AI)  and  ANS,  computer
architectures that are evolving from this field, and two ANS
algorithms.

[Copies are available from simpson@cod.nosc.mil or the address
 listed above - MTG]