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

Fault Models for Neural Hardware

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

3 Author(s)
Singh, A.P. ; Sch. of Inf. Technol., Guru Gobind Singh Indraprastha Univ., Delhi, India ; Chandra, P. ; Rai, C.S.

Artificial Neural Networks are inherently fault tolerant. Fault tolerance property of artificial neural networks has been investigated with reference to the hardware model of artificial neural networks. In this paper, we propose a framework for the investigation of fault tolerance properties of a hardware model of artificial neural networks. The result obtained indicates that networks obtained by training them with the resilient back propagation algorithm are not fault tolerant: more experimentation is required before a definitive statement can be made for other training algorithms, like the adaptive learning rate algorithm, the conjugate gradient based training algorithms, etc.

Published in:

Advances in System Testing and Validation Lifecycle, 2009. VALID '09. First International Conference on

Date of Conference:

20-25 Sept. 2009

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.