Stability of neural networks with time varying delays in the presence of impulses

dc.contributor.authorAkca, Haydar
dc.contributor.authorAlassar, Rajai
dc.contributor.authorCovachev, Valery
dc.date.accessioned2022-01-06T07:17:41Z
dc.date.accessioned2023-08-19T09:16:18Z
dc.date.available2022-01-06T07:17:41Z
dc.date.available2023-08-19T09:16:18Z
dc.date.issued2006-01
dc.descriptionA neural network is a network that performs computational tasks such as associative memory, pattern recognition, optimization, model identification, signal processing, etc. on a given pattern via interaction between a number of interconnected units characterized by simple functions. From the mathematical point of view, an artificial neural network corresponds to a nonlinear transformation of some inputs into certain outputs. Many types of neural networks have been proposed and studied in the literature and the Hopfield-type network has become an important one due to its potential for applications in various fields of daily lifeen_US
dc.description.abstractWe develop a new approach to the stability analysis of Hopfield-type neural networks with time varying delays in the presence of impulses. With the new approach, we improve and generalize some previous works of other researchers. We study stability of equilibrium points of impulsive systems which are either a generalization of those existing or newen_US
dc.identifier.citationAkça, H., Alassar, R., & Covachev, V. (2006). Stability of neural networks with time varying delays in the presence of impulses. Advances in Dynamical Systems and Applications, 1(1), 1-15.en_US
dc.identifier.urihttps://edms.wexl.in/handle/1/2135
dc.language.isoenen_US
dc.publisherResearch India Publicationsen_US
dc.subjectHopfield-type neural networksen_US
dc.subjectDelaysen_US
dc.subjectImpulsesen_US
dc.titleStability of neural networks with time varying delays in the presence of impulsesen_US
dc.title.alternativeAdvances in Dynamical Systems and Applications. ISSN 0973-5321 Volume 1 Number 1 (2006), pp. 1–15en_US
dc.typeArticleen_US

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