By Topic

Analysis and design of associative memories based on cellular neural networks with space-invariant cloning templates

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)
Zhigang Zeng ; Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China ; Jun Wang

This paper presents a new design procedure for the synthesis of associative memories based on cellular neural networks characterized by input and output matrices obtained based on cloning templates by solving a set of inequalities. The design parameters are few even though the dimension of patterns may be very high. The design procedure enables heteroassociative or autoassociative memories to be synthesized with assured global exponential stability and feeding retrieval probes via external inputs rather than initial conditions. Two specific examples are shown to illustrate the applicability of the methodology.

Published in:

Neural Networks, 2009. IJCNN 2009. International Joint Conference on

Date of Conference:

14-19 June 2009