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

Implementation of rule-based expert systems for time-critical applications using neural networks

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

2 Author(s)
Ramamoorthy, P.A. ; Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA ; Huang, S.

The process of constructing a neural-network-based expert system from a given AND/OR inference net is examined. The major purpose of such an approach is to make use of the parallel-processing capabilities of neural networks in implementing expert systems for classifications. In order to provide a clear view of the design process of the proposed neural network expert systems an example of such a classification expert system and its neural network version are given. It is clear from the results that neural networks can be used as an implementational vehicle for expert systems for time-critical applications.<>

Published in:

Systems Engineering, 1989., IEEE International Conference on

Date of Conference:

0-0 1989

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.