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

Zhigang Zeng, Jun Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2009 International Joint Conference on Neural Networks, IJCNN 2009
Pages3504-3511
Number of pages8
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 International Joint Conference on Neural Networks, IJCNN 2009 - Atlanta, GA, United States
Duration: 14 Jun 200919 Jun 2009

Publication series

NameProceedings of the International Joint Conference on Neural Networks

Conference

Conference2009 International Joint Conference on Neural Networks, IJCNN 2009
Country/TerritoryUnited States
CityAtlanta, GA
Period14/06/0919/06/09

Fingerprint

Dive into the research topics of 'Analysis and design of associative memories based on cellular neural networks with space-invariant cloning templates'. Together they form a unique fingerprint.

Cite this