Discrete-time counterparts of impulsive Cohen-Grossberg neural networks of neutral type

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dc.contributor.authorCOVACHEV, VALERY
dc.contributor.authorAkca, Haydar
dc.contributor.authorSARR, MAKHTAR
dc.date.accessioned2022-01-05T17:08:04Z
dc.date.accessioned2023-08-19T09:16:16Z
dc.date.available2022-01-05T17:08:04Z
dc.date.available2023-08-19T09:16:16Z
dc.date.issued2011-07
dc.descriptionAn artificial neural network is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information.en_US
dc.description.abstractThe discrete-time counterpart of an impulsive Cohen-Grossberg neural network of neutral type is introduced. Sufficient conditions for the existence and global asymptotic stability of a unique equilibrium point of the discrete-time system considered are obtained.en_US
dc.identifier.citationCovachev, V., Akça, H., & Sarr, M. (2011). Discrete-time counterparts of impulsive Cohen-Grossberg neural networks of neutral type. Neural, Parallel & Scientific Computations, 19(3-4), 345-360.en_US
dc.identifier.urihttps://edms.wexl.in/handle/1/2128
dc.language.isoenen_US
dc.publisherDynamic Publishersen_US
dc.subjectDiscrete-time counterparten_US
dc.subjectCohen-Grossberg neural networken_US
dc.subjectElementary processing unitsen_US
dc.subjectDiscrete-time counterpartsen_US
dc.titleDiscrete-time counterparts of impulsive Cohen-Grossberg neural networks of neutral typeen_US
dc.title.alternativeNeural, Parallel and Scientific Computations 19 (2011) 345-360en_US
dc.typeArticleen_US

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