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dc.contributor.authorNarayanan, G.
dc.contributor.authorARIK, Sabri
dc.contributor.authorORMAN, Zeynep
dc.contributor.authorShekher, Vineet
dc.contributor.authorAli, M. Syed
dc.date.accessioned2021-03-03T10:42:42Z
dc.date.available2021-03-03T10:42:42Z
dc.date.issued2020
dc.identifier.citationAli M. S. , Narayanan G., ORMAN Z., Shekher V., ARIK S., "Finite Time Stability Analysis of Fractional-Order Complex-Valued Memristive Neural Networks with Proportional Delays", NEURAL PROCESSING LETTERS, cilt.51, sa.1, ss.407-426, 2020
dc.identifier.issn1370-4621
dc.identifier.otherav_2433caa3-e1b9-4284-bba2-442c1e63bc10
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/29230
dc.identifier.urihttps://doi.org/10.1007/s11063-019-10097-7
dc.description.abstractIn this paper, finite time stability analysis of fractional-order complex-valued memristive neural networks with proportional delays is investigated. Under the framework of Filippov solution and differential inclusion theory, by using Holder inequality, Gronwall inequality and inequality scaling skills, some sufficient conditions are derived to ensure the finite-time stability of concerned fractional-order complex-valued memristive neural networks with fractional order alpha: 0 < alpha < 1/2 and 1/2 <= alpha < 1. In the end, two numerical examples are provided to illustrate the availability of the obtained results.
dc.language.isoeng
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectAlgoritmalar
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.subjectBilgisayar Bilimi
dc.subjectBilgisayar Bilimleri
dc.subjectMühendislik ve Teknoloji
dc.titleFinite Time Stability Analysis of Fractional-Order Complex-Valued Memristive Neural Networks with Proportional Delays
dc.typeMakale
dc.relation.journalNEURAL PROCESSING LETTERS
dc.contributor.departmentThiruvalluvar Univ , ,
dc.identifier.volume51
dc.identifier.issue1
dc.identifier.startpage407
dc.identifier.endpage426
dc.contributor.firstauthorID2277459


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