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dc.contributor.authorArik, Sabri
dc.date.accessioned2021-03-04T10:52:10Z
dc.date.available2021-03-04T10:52:10Z
dc.date.issued2003
dc.identifier.citationArik S., "Global robust stability of delayed neural networks", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, cilt.50, sa.1, ss.156-160, 2003
dc.identifier.issn1549-8328
dc.identifier.othervv_1032021
dc.identifier.otherav_6f61fed7-1569-425b-9919-0c6c75829933
dc.identifier.urihttp://hdl.handle.net/20.500.12627/76863
dc.identifier.urihttps://doi.org/10.1109/tcsi.2002.807515
dc.description.abstractThis brief presents a sufficient condition for the existence, uniqueness, and global robust stability of the equilibrium point for Hopfield-type delayed neural networks. The result imposes constraint conditions on the boundary values of the network parameters independently of the delay parameter. This result is compared with the previous results derived in the literature.
dc.language.isoeng
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectSinyal İşleme
dc.subjectMühendislik ve Teknoloji
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.titleGlobal robust stability of delayed neural networks
dc.typeMakale
dc.relation.journalIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
dc.contributor.departmentİstanbul Üniversitesi , Mühendislik Fakültesi , Elektrik-Elektronik Mühendisliği
dc.identifier.volume50
dc.identifier.issue1
dc.identifier.startpage156
dc.identifier.endpage160
dc.contributor.firstauthorID57528


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