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Stability analysis of delayed neural networks

dc.contributor.authorArik, Sabri
dc.date.accessioned2021-03-04T10:37:31Z
dc.date.available2021-03-04T10:37:31Z
dc.date.issued2000
dc.identifier.citationArik S., "Stability analysis of delayed neural networks", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, cilt.47, sa.7, ss.1089-1092, 2000
dc.identifier.issn1057-7122
dc.identifier.otherav_6e27dcc3-aeeb-4ab4-aa2d-7c35917cb138
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/76059
dc.identifier.urihttps://doi.org/10.1109/81.855465
dc.description.abstractIn this paper, we derive several sufficient conditions for the asymptotic stability of delayed neural networks. These conditions ensure the asymptotic stability of the equilibrium point of a delayed neural network independently of the delay parameter. The results obtained impose constraint conditions on the interconnection matrix of the neural system. These results are also compared with the earlier results derived in the literature.
dc.language.isoeng
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectSinyal İşleme
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectMühendislik
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectMühendislik ve Teknoloji
dc.titleStability analysis of delayed neural networks
dc.typeMakale
dc.relation.journalIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS
dc.contributor.departmentİstanbul Üniversitesi , Mühendislik Fakültesi , Elektrik-Elektronik Mühendisliği
dc.identifier.volume47
dc.identifier.issue7
dc.identifier.startpage1089
dc.identifier.endpage1092
dc.contributor.firstauthorID57498


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