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dc.contributor.authorArik, Sabri
dc.date.accessioned2021-03-05T17:34:28Z
dc.date.available2021-03-05T17:34:28Z
dc.date.issued2002
dc.identifier.citationArik S., "A note on the global stability of dynamical neural networks", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, cilt.49, ss.502-504, 2002
dc.identifier.issn1057-7122
dc.identifier.otherav_c62dd2db-b6d2-4958-96c0-9040fb557563
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/131399
dc.identifier.urihttps://doi.org/10.1109/81.995665
dc.description.abstractIt is shown that the additive diagonal stability condition on the interconnection matrix of a neural network, together with the assumption that the activation functions are nondecreasing, guarantees the uniqueness of the equilibrium point. This condition, under the same assumption on the activation functions, is also shown to imply the local attractivity and local asymptotic stability of the equilibrium point, thus ensuring the global asymptotic stability (GAS) of the equilibrium point. The result obtained generalizes the previous 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.titleA note on the global stability of dynamical 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.volume49
dc.identifier.issue4
dc.identifier.startpage502
dc.identifier.endpage504
dc.contributor.firstauthorID57499


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