Improved Global Robust Stability for Interval-Delayed Hopfield Neural Networks

dc.authorscopusid7404651584
dc.contributor.authorSingh, Vimal
dc.contributor.otherDepartment of Mechatronics Engineering
dc.date.accessioned2024-07-05T14:34:07Z
dc.date.available2024-07-05T14:34:07Z
dc.date.issued2008
dc.departmentAtılım Universityen_US
dc.department-tempAtilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkeyen_US
dc.description.abstractA modified form of a recent criterion for the global robust stability of interval-delayed Hopfield neural networks is presented. The effectiveness of the modified criterion is demonstrated with the help of an example.en_US
dc.identifier.citationcount13
dc.identifier.doi10.1007/s11063-008-9074-0
dc.identifier.endpage265en_US
dc.identifier.issn1370-4621
dc.identifier.issn1573-773X
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-42449143805
dc.identifier.scopusqualityQ3
dc.identifier.startpage257en_US
dc.identifier.urihttps://doi.org/10.1007/s11063-008-9074-0
dc.identifier.urihttps://hdl.handle.net/20.500.14411/1021
dc.identifier.volume27en_US
dc.identifier.wosWOS:000255196500006
dc.identifier.wosqualityQ3
dc.institutionauthorSıngh, Vımal
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.scopus.citedbyCount14
dc.subjectinterval neural networksen_US
dc.subjectequilibrium analysisen_US
dc.subjectrobust stabilityen_US
dc.subjectHopfield neural networksen_US
dc.subjectneural networksen_US
dc.titleImproved Global Robust Stability for Interval-Delayed Hopfield Neural Networksen_US
dc.typeArticleen_US
dc.wos.citedbyCount13
dspace.entity.typePublication
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