ANTI-PERIODIC SOLUTIONS FOR FRACTIONAL-ORDER BIDIRECTIONAL ASSOCIATIVE MEMORY NEURAL NETWORKS WITH DELAYS

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dc.contributor.authorTuz, Munevver
dc.contributor.authorSuroglu, Gulden Altay
dc.date.accessioned2026-08-12T17:05:37Z
dc.date.issued2019
dc.departmentFırat Üniversitesi
dc.description.abstractThis paper concerns fractional-order bidirectional associative memory neural networks with distributed delays. Based on inequality technique and Lyapunov functional method, some novel sufficient conditions are obtained for the existence and exponential stability of anti-periodic solutions are established. An example is given to show the feasibility main results.
dc.identifier.doi10.2298/TSCI190805406T
dc.identifier.endpageS2177
dc.identifier.issn0354-9836
dc.identifier.issn2334-7163
dc.identifier.scopus2-s2.0-85084060188
dc.identifier.scopusqualityQ3
dc.identifier.startpageS2169
dc.identifier.urihttps://doi.org/10.2298/TSCI190805406T
dc.identifier.urihttps://hdl.handle.net/11508/49182
dc.identifier.volume23
dc.identifier.wosWOS:000509489100038
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherVinca Inst Nuclear Sci
dc.relation.ispartofThermal Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260511
dc.subjectbidirectional associative memory neural networks
dc.subjectexistence
dc.subjectfractional differential equation
dc.subjectglobal exponential stability
dc.subjectdelays
dc.subjectanti-periodic
dc.titleANTI-PERIODIC SOLUTIONS FOR FRACTIONAL-ORDER BIDIRECTIONAL ASSOCIATIVE MEMORY NEURAL NETWORKS WITH DELAYS
dc.typeArticle

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