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Quasi-Projective Synchronization of Distributed-Order Recurrent Neural Networks

Quasi-Projective Synchronization of Distributed-Order Recurrent Neural Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_39e815782de446a7b334fd4de700eb0c

Quasi-Projective Synchronization of Distributed-Order Recurrent Neural Networks

About this item

Full title

Quasi-Projective Synchronization of Distributed-Order Recurrent Neural Networks

Publisher

Basel: MDPI AG

Journal title

Fractal and fractional, 2021-12, Vol.5 (4), p.260

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

In this paper, the quasi-projective synchronization of distributed-order recurrent neural networks is investigated. Firstly, based on the definition of the distributed-order derivative and metric space theory, two distributed-order differential inequalities are obtained. Then, by employing the Lyapunov method, Laplace transform, Laplace final value...

Alternative Titles

Full title

Quasi-Projective Synchronization of Distributed-Order Recurrent Neural Networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_39e815782de446a7b334fd4de700eb0c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_39e815782de446a7b334fd4de700eb0c

Other Identifiers

ISSN

2504-3110

E-ISSN

2504-3110

DOI

10.3390/fractalfract5040260

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