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Global stability of bidirectional associative memory neural networks with variable coefficients and S-type distributed delays

  • Yonggui Kao*
  • , Cunchen Gao
  • , Lu Wu
  • , Qinghe Ming
  • *Corresponding author for this work
  • Ocean University of China
  • Zaozhuang University

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

Abstract

This paper is devoted to investigation of the global asymptotic stability for Bidirectional associative memory (BAM) neural networks with variable coefficient and S-type distributed signal transmission delays along the axon of a neuron. Some sufficient conditions for global asymptotic stability of the networks was obtained, in which the boundedness and differentiability of the signal functions in some papers are deleted. Some examples are also presented to show that our results are new and improve the previous results.

Original languageEnglish
Title of host publicationNeural Information Processing - 13th International Conference, ICONIP 2006, Proceedings
PublisherSpringer Verlag
Pages598-607
Number of pages10
ISBN (Print)3540464794, 9783540464792
DOIs
StatePublished - 2006
Externally publishedYes
Event13th International Conference on Neural Information Processing, ICONIP 2006 - Hong Kong, China
Duration: 3 Oct 20066 Oct 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4232 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Neural Information Processing, ICONIP 2006
Country/TerritoryChina
CityHong Kong
Period3/10/066/10/06

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