Comments on "global Robust Stability of Delayed Neural Networks"

dc.authorscopusid 7404651584
dc.contributor.author Singh, V
dc.contributor.other Department of Mechatronics Engineering
dc.date.accessioned 2024-07-05T15:09:24Z
dc.date.available 2024-07-05T15:09:24Z
dc.date.issued 2006
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 recently reported result concerning the global robust stability of the equilibrium point of Hopfield-type delayed neural networks is revisited. It is shown that the result is not always right. en_US
dc.identifier.citationcount 4
dc.identifier.doi 10.1109/TCSI.2005.855721
dc.identifier.endpage 215 en_US
dc.identifier.issn 1057-7122
dc.identifier.issue 1 en_US
dc.identifier.scopus 2-s2.0-31344435934
dc.identifier.startpage 214 en_US
dc.identifier.uri https://doi.org/10.1109/TCSI.2005.855721
dc.identifier.uri https://hdl.handle.net/20.500.14411/1169
dc.identifier.volume 53 en_US
dc.identifier.wos WOS:000234724700020
dc.institutionauthor Sıngh, Vımal
dc.language.iso en en_US
dc.publisher Ieee-inst Electrical Electronics Engineers inc en_US
dc.relation.publicationcategory Diğer en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 4
dc.subject dynamical interval neural networks en_US
dc.subject equilibrium analysis en_US
dc.subject global robust stability en_US
dc.title Comments on "global Robust Stability of Delayed Neural Networks" en_US
dc.type Editorial en_US
dc.wos.citedbyCount 4
dspace.entity.type Publication
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