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

Fault-tolerance of associative memories based on 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

4 Author(s)
Ruckert, U. ; Bauelemente der Electrotechnik, Dortmund Univ., West Germany ; Kreuzer, I. ; Tryba, V. ; Goser, K.

The authors discuss the hardware fault tolerance of associative memories. They study device parameter variations across a chip, which affect essentially the characteristics of analog circuits used by several architectures. The effects of these errors on the performance are examined by means of three typical representatives: the Hopfield model, the self-organizing feature map, and the Boltzmann machine. The authors present a worst-case estimation of the guaranteed fault tolerance of these networks and discuss the consequences for the features of the associative memories. The main result is that the fault tolerance decreases with the number of weights but can be improved by using spare codes or self-organization in connection with added resources

Published in:

CompEuro '89., 'VLSI and Computer Peripherals. VLSI and Microelectronic Applications in Intelligent Peripherals and their Interconnection Networks', Proceedings.

Date of Conference:

8-12 May 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.