Discrete Fractional-Order bam neural networks with leakage delay: existence and stability results

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DC Field	Value	Language
dc.contributor.author	Alzabut, J.	-
dc.contributor.author	Tyagi, S.	-
dc.contributor.author	Abbas, S.	-
dc.date.accessioned	2021-06-30T22:10:45Z	-
dc.date.available	2021-06-30T22:10:45Z	-
dc.date.issued	2021-07-01	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/1933	-
dc.description.abstract	In this paper, a discrete model of fractional-order bidirectional associative memory (BAM) neural networks with leakage delay is considered. Sufficient conditions are established for the existence, uniqueness and uniform stability of nontrivial solutions of the addressed model. Our approach is based on the implementation of the newly defined discrete fractional calculus, mathematical inequalities and fixed point theorems. We provide an example that supports the application of the theoretical results	en_US
dc.language.iso	en_US	en_US
dc.subject	Contraction mapping principle	en_US
dc.subject	Krasnoselskii	en_US
dc.subject	discrete fractional-order	en_US
dc.subject	BAM neural networks	en_US
dc.subject	stability	en_US
dc.title	Discrete Fractional-Order bam neural networks with leakage delay: existence and stability results	en_US
dc.type	Article	en_US
Appears in Collections:	Year-2020

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