New Results On The Exponential Stability Of Class Neural Networks With
Time-Varying Lags

dc.contributor.author	Altun, Yener
dc.date.accessioned	2021-12-15T10:46:37Z
dc.date.available	2021-12-15T10:46:37Z
dc.date.issued	2019
dc.identifier.issn	2147-3129
dc.identifier.issn	2147-3188
dc.identifier.uri	https://app.trdizin.gov.tr/makale/TXpjNU56YzJOZz09/new-results-on-the-exponential-stability-of-class-neural-networks-with-time-varying-lags
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/3236
dc.description.abstract	In this article, some novel approaches to the analysis of global exponential stability (GES) for a class of neuralnetworks with time-varying lags are presented. For functional differential equations, these approaches to are basedon Lyapunov stability theo
dc.description.abstract	Bu makalede, zamanla değişen gecikmelerle sinir ağlarının bir sınıfı için global üstel kararlılığının analizine yönelik bazı yeni yaklaşımlar sunulmuştur. Fonksiyonel diferansiyel denklemlere yönelik bu yaklaşımlar için Lyapunov kararlılık teorisinden y
dc.language.iso	English
dc.source	Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
dc.title	New Results On The Exponential Stability Of Class Neural Networks With Time-Varying Lags
dc.identifier.issue	2
dc.identifier.startpage	443
dc.identifier.endpage	450
dc.identifier.volume	8

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