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Exponential convergence of delayed neural networks

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

Abstract

Several new conditions for exponential convergence of DNN were proposed in this paper. These conditions guarantee the existence and uniqueness of equilibrium of DNN with certain different activation functions. To demonstrate the differences and features of the new criteria, some remarks are presented.

Original languageEnglish
Title of host publicationAdvances in Natural Computation
Subtitle of host publication1st International Conference, ICNC 2005 - Proceedings
PublisherSpringer Verlag
Pages466-469
Number of pages4
EditionPART I
ISBN (Print)9783540283232
DOIs
StatePublished - 2005
Event1st International Conference on Natural Computation, ICNC 2005 - Changsha, China
Duration: 27 Aug 200529 Aug 2005

Publication series

NameLecture Notes in Computer Science
NumberPART I
Volume3610
ISSN (Print)0302-9743

Conference

Conference1st International Conference on Natural Computation, ICNC 2005
Country/TerritoryChina
CityChangsha
Period27/08/0529/08/05

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