On the global dissipativity of dynamical neural networks with time delays

dc.contributor.author	Arik, Sabri
dc.date.accessioned	2021-03-04T19:04:19Z
dc.date.available	2021-03-04T19:04:19Z
dc.identifier.citation	Arik S., "On the global dissipativity of dynamical neural networks with time delays", PHYSICS LETTERS A, cilt.326, ss.126-132, 2004
dc.identifier.issn	0375-9601
dc.identifier.other	vv_1032021
dc.identifier.other	av_8df228f9-5432-4c5e-bca8-693c98de3c7c
dc.identifier.uri	http://hdl.handle.net/20.500.12627/95935
dc.identifier.uri	https://doi.org/10.1016/j.physleta.2004.04.023
dc.description.abstract	This Letter presents some new sufficient conditions for the global dissipativity of continuous-time dynamical neural networks with time delay. The results are shown to generalize the previous global dissipativity results derived in the literature. (C) 2004 Elsevier B.V. All rights reserved.
dc.language.iso	eng
dc.subject	Fizik
dc.subject	Temel Bilimler
dc.subject	FİZİK, MULTİDİSİPLİNER
dc.subject	Disiplinlerarası Fizik ve İlgili Bilim ve Teknoloji Alanları
dc.subject	Temel Bilimler (SCI)
dc.title	On the global dissipativity of dynamical neural networks with time delays
dc.type	Makale
dc.relation.journal	PHYSICS LETTERS A
dc.contributor.department	İstanbul Üniversitesi , Mühendislik Fakültesi , Bilgisayar Mühendisliği
dc.identifier.volume	326
dc.identifier.startpage	126
dc.identifier.endpage	132
dc.contributor.firstauthorID	57545

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