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Global stability of a larger class of dynamical neural networks

dc.contributor.authorArik, Sabri
dc.date.accessioned2021-03-03T13:11:26Z
dc.date.available2021-03-03T13:11:26Z
dc.identifier.citationArik S., "Global stability of a larger class of dynamical neural networks", IEEE International Symposium on Circuits and Systems (ISCAS 98), Monterrey, Meksika, 31 Mayıs - 03 Haziran 1998
dc.identifier.otherav_328bb101-7142-45e8-98b0-ebd3620a4562
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/38307
dc.description.abstractIn this paper, we present a sufficient condition for the existence, uniqueness and global asymptotic stability (GAS) of the equilibrium point for a larger class of dynamical neural networks. It is shown that the digonal dominance of the interconnection matrix guarantees the existence, uniqueness and GAS of the equilibrium point with respect to all nondecreasing activation functions.
dc.language.isoeng
dc.subjectSinyal İşleme
dc.subjectBilgisayar Bilimleri
dc.subjectAlgoritmalar
dc.subjectDonanım
dc.subjectBİLGİSAYAR BİLİMİ, YAZILIM MÜHENDİSLİĞİ
dc.subjectVeritabanı ve Veri Yapıları
dc.subjectMühendislik ve Teknoloji
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBİLGİSAYAR BİLİMİ, DONANIM VE MİMARLIK
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectMühendislik
dc.subjectTELEKOMÜNİKASYON
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.titleGlobal stability of a larger class of dynamical neural networks
dc.typeBildiri
dc.contributor.departmentİstanbul Üniversitesi , Mühendislik Fakültesi , Elektrik-Elektronik Mühendisliği
dc.contributor.firstauthorID57611


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