A Novel Global Robust Stability Criterion for Neural Networks With Delay

dc.authorscopusid 7404651584
dc.contributor.author Singh, V
dc.contributor.other Department of Mechatronics Engineering
dc.date.accessioned 2024-07-05T15:10:08Z
dc.date.available 2024-07-05T15:10:08Z
dc.date.issued 2005
dc.department Atılım University en_US
dc.department-temp Atilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkey en_US
dc.description.abstract A criterion based on the intervalised network parameters for the global robust stability of Hopfield-type neural networks with delay is presented. The criterion is compared with an earlier criterion. (c) 2005 Elsevier B.V. All rights reserved. en_US
dc.identifier.citationcount 45
dc.identifier.doi 10.1016/j.physleta.2005.02.004
dc.identifier.endpage 373 en_US
dc.identifier.issn 0375-9601
dc.identifier.issn 1873-2429
dc.identifier.issue 4-6 en_US
dc.identifier.scopus 2-s2.0-15244346634
dc.identifier.startpage 369 en_US
dc.identifier.uri https://doi.org/10.1016/j.physleta.2005.02.004
dc.identifier.uri https://hdl.handle.net/20.500.14411/1261
dc.identifier.volume 337 en_US
dc.identifier.wos WOS:000228141100016
dc.identifier.wosquality Q3
dc.institutionauthor Sıngh, Vımal
dc.language.iso en en_US
dc.publisher Elsevier Science Bv en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 47
dc.subject dynamical interval neural networks en_US
dc.subject equilibrium analysis en_US
dc.subject global robust stability en_US
dc.subject Hopfield neural networks en_US
dc.subject neural networks en_US
dc.title A Novel Global Robust Stability Criterion for Neural Networks With Delay en_US
dc.type Article en_US
dc.wos.citedbyCount 42
dspace.entity.type Publication
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