Cart (Loading....) | Create Account
Close category search window
 

Hybrid expert systems for monitoring and fault diagnosis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Senjen, R. ; Telecom Res. Lab., Clayton, Vic., Australia ; de Beler, M. ; Leckie, C. ; Rowles, C.

The integration of connectionist and symbolic techniques within the one system is considered. The authors discuss the advantages of hybrid connectionist/symbolic knowledge-based systems. Integrating the two approaches can take many forms. A problem could be represented as a mixed connectionist and symbolic knowledge base with modes of reasoning selected as appropriate to the current task, or as one mode of reasoning embedded in a system where the overall flow of control is determined by the other mode. Both of these allow reasoning tasks to be undertaken using the appropriate mode, but also require a knowledge representation accessible to both modes. Two telecommunications problems that were solved using hybrid connectionist and rule-based reasoning are presented. The first application for hybrid reasoning is in the area of performance monitoring and fault diagnosis in telecommunication network management. The second application is a system that predicts and diagnoses faults in a telecommunication cable distribution network. Hybrids can extend the role played by knowledge-based systems by allowing different modes of knowledge representation and reasoning to be used when strict rule-based techniques do not work

Published in:

Artificial Intelligence for Applications, 1993. Proceedings., Ninth Conference on

Date of Conference:

1-5 Mar 1993

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.