Synthesis of bipolar associative memories based on cellular neural networks with two-dimensional space-invariant templates

Zhigang Zeng, Jun Wang

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

Abstract

In this paper, a design procedure is presented for synthizing associative memories based on cellular neural networks with two-dimensional space-invariant templates. The theoretical analysis herein guarantees that the desired memory patterns are stored as asymptotically stable equilibrium points. In addition, it is shown that procedure herein can ensure the designed input matrix to be obtained by using space-invariant cloning templates. Hence, it is very convenient for one to design cellular neural networks for associative desired memory patterns effectively.

Original languageEnglish
Title of host publicationInternational Joint Conference on Neural Networks 2006, IJCNN '06
Pages1015-1020
Number of pages6
Publication statusPublished - 2006
Externally publishedYes
EventInternational Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada
Duration: 16 Jul 200621 Jul 2006

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
ISSN (Print)1098-7576

Conference

ConferenceInternational Joint Conference on Neural Networks 2006, IJCNN '06
Country/TerritoryCanada
CityVancouver, BC
Period16/07/0621/07/06

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