Publicación:
UNIFORM APPROXIMATION OF IMPULSIVE HOPFIELD CELLULAR NEURAL NETWORKS BY PIECEWISE CONSTANT ARGUMENTS ON [TAU,INFINITY)

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dc.creatorSAMUEL DE JESÚS CASTILLO APOLONIO
dc.date2021
dc.date.accessioned2025-01-10T15:25:42Z
dc.date.available2025-01-10T15:25:42Z
dc.date.issued2021
dc.description.abstractIN THIS PAPER WE GIVE A UNIFORM APPROXIMATION OF A CNN-HOPFIELD TYPE IMPULSIVE SYSTEM BY MEANS OF AN IDEPCA APPROXIMATING SYSTEM. AS A CONSEQUENCE OF THE UNIFORM APPROXIMATION, CERTAIN PROPERTIES LIKE BOUNDEDNESS ARE INHERITED. WE ALSO CONSIDER THE ANALYSIS OF A CONSTANT COEFFICIENTS CASE. THESE RESULTS ARE NOVEL IN THE IMPULSIVE DIFFERENTIAL EQUATIONS FRAME. EXAMPLES ARE SIMULATED, ILLUSTRATING THE EFFECTIVENESS OF OUR RESULTS.
dc.formatapplication/pdf
dc.identifier.doi10.1007/s10440-020-00373-3
dc.identifier.issn1572-9036
dc.identifier.issn0167-8019
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/11968
dc.languagespa
dc.publisherACTA APPLICANDAE MATHEMATICAE
dc.relation.uri10.1007/s10440-020-00373-3
dc.rightsPUBLICADA
dc.titleUNIFORM APPROXIMATION OF IMPULSIVE HOPFIELD CELLULAR NEURAL NETWORKS BY PIECEWISE CONSTANT ARGUMENTS ON [TAU,INFINITY)
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE MATEMATICA
ubb.SedeCONCEPCIÓN
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