Exponential stability of neural networks with time-varying delays and impulses

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dc.contributor.authorCovachev, Valéry
dc.contributor.authorAltmayer, Kumud Singh
dc.contributor.authorAkca, Haydar
dc.date.accessioned2021-12-29T10:35:11Z
dc.date.accessioned2023-08-19T09:16:12Z
dc.date.available2021-12-29T10:35:11Z
dc.date.available2023-08-19T09:16:12Z
dc.date.issued2006-01
dc.descriptionAkça, H., Covachev, V., & Altmayer, K. S. (2009). Exponential stability of neural networks with time-varying delays and impulses. In The Sixth International Symposium on Neural Networks (ISNN 2009) (pp. 153-163). Springer, Berlin, Heidelberg.en_US
dc.description.abstractWe present sufficient conditions for the uniqueness and exponential stability of equilibrium points of impulsive neural networks which are a generalization of Cohen-Grossberg neural networks.en_US
dc.identifier.citationAkça, H., Covachev, V., & Altmayer, K. S. (2009). Exponential stability of neural networks with time-varying delays and impulses. In The Sixth International Symposium on Neural Networks (ISNN 2009) (pp. 153-163). Springer, Berlin, Heidelberg.
dc.identifier.doihttps://doi.org/10.1007/978-3-642-01216-7_17
dc.identifier.urihttps://edms.wexl.in/handle/1/2069
dc.language.isoenen_US
dc.publisherSpringer Linken_US
dc.subjectNeural networksen_US
dc.subjectDelaysen_US
dc.subjectImpulsesen_US
dc.subjectStabilityen_US
dc.titleExponential stability of neural networks with time-varying delays and impulsesen_US
dc.title.alternativeAdvances in Intelligent and Soft Computing book series (AINSC, volume 56)en_US
dc.typeArticleen_US

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