Some Remarks on Global Asymptotic Stability of Neural Networks With Constant Time Delay

dc.contributor.author Singh, Vimal
dc.date.accessioned 2024-07-05T14:33:12Z
dc.date.available 2024-07-05T14:33:12Z
dc.date.issued 2007
dc.description.abstract An elegant proof of a previously reported criterion for the uniqueness and global asymptotic stability of the equilibrium point of a class of neural networks with constant time delay is presented. The present proof yields some interesting observations. (c) 2005 Elsevier Ltd. All rights reserved. en_US
dc.identifier.doi 10.1016/j.chaos.2005.12.002
dc.identifier.issn 0960-0779
dc.identifier.issn 1873-2887
dc.identifier.scopus 2-s2.0-33846388250
dc.identifier.uri https://doi.org/10.1016/j.chaos.2005.12.002
dc.identifier.uri https://hdl.handle.net/20.500.14411/902
dc.language.iso en en_US
dc.publisher Pergamon-elsevier Science Ltd en_US
dc.relation.ispartof Chaos, Solitons & Fractals
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject [No Keyword Available] en_US
dc.title Some Remarks on Global Asymptotic Stability of Neural Networks With Constant Time Delay en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 7404651584
gdc.bip.impulseclass C5
gdc.bip.influenceclass C4
gdc.bip.popularityclass C5
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Atılım University en_US
gdc.description.departmenttemp Atilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkey en_US
gdc.description.endpage 1724 en_US
gdc.description.issue 5 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.startpage 1720 en_US
gdc.description.volume 32 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W1978780110
gdc.identifier.wos WOS:000244504000015
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 4.0
gdc.oaire.influence 3.435719E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Stability theory of functional-differential equations
gdc.oaire.keywords neural network models
gdc.oaire.keywords stability
gdc.oaire.keywords Neural networks for/in biological studies, artificial life and related topics
gdc.oaire.keywords delay functional differential equations
gdc.oaire.popularity 7.4841267E-10
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0103 physical sciences
gdc.oaire.sciencefields 01 natural sciences
gdc.openalex.collaboration National
gdc.openalex.fwci 1.25967426
gdc.openalex.normalizedpercentile 0.75
gdc.opencitations.count 7
gdc.plumx.crossrefcites 7
gdc.plumx.mendeley 10
gdc.plumx.scopuscites 8
gdc.scopus.citedcount 8
gdc.virtual.author Sıngh, Vımal
gdc.wos.citedcount 7
relation.isAuthorOfPublication e3234b4c-8993-4550-93fe-38796ff7c7e1
relation.isAuthorOfPublication.latestForDiscovery e3234b4c-8993-4550-93fe-38796ff7c7e1
relation.isOrgUnitOfPublication e2a6d0b1-378e-4532-82b1-d17cabc56744
relation.isOrgUnitOfPublication 50be38c5-40c4-4d5f-b8e6-463e9514c6dd
relation.isOrgUnitOfPublication.latestForDiscovery e2a6d0b1-378e-4532-82b1-d17cabc56744

Files

Collections