On global robust stability of interval Hopfield neural networks with delay

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dc.authorscopusid7404651584
dc.contributor.authorSıngh, Vımal
dc.contributor.otherDepartment of Mechatronics Engineering
dc.date.accessioned2024-07-05T14:33:08Z
dc.date.available2024-07-05T14:33:08Z
dc.date.issued2007
dc.departmentAtılım Universityen_US
dc.department-tempAtilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkeyen_US
dc.description.abstractA criterion for the global robust stability of interval Hopfield-type neural networks with delay is presented. The criterion is a less restrictive version of a recent criterion due to Cao and Wang. An example showing the effectiveness of the present criterion is given. (c) 2006 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citation32
dc.identifier.doi10.1016/j.chaos.2006.01.121
dc.identifier.endpage1188en_US
dc.identifier.issn0960-0779
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-33947139673
dc.identifier.startpage1183en_US
dc.identifier.urihttps://doi.org/10.1016/j.chaos.2006.01.121
dc.identifier.urihttps://hdl.handle.net/20.500.14411/890
dc.identifier.volume33en_US
dc.identifier.wosWOS:000246609700009
dc.identifier.wosqualityQ1
dc.institutionauthorSingh, Vimal
dc.language.isoenen_US
dc.publisherPergamon-elsevier Science Ltden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keyword Available]en_US
dc.titleOn global robust stability of interval Hopfield neural networks with delayen_US
dc.typeArticleen_US
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscoverye3234b4c-8993-4550-93fe-38796ff7c7e1
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