Mittag-Leffler-Type Stability of BAM Neural Networks Modeled by the Generalized Proportional Riemann–Liouville Fractional Derivative

The main goal of the paper is to use a generalized proportional Riemann–Liouville fractional derivative (GPRLFD) to model BAM neural networks and to study some stability properties of the equilibrium. Initially, several properties of the GPRLFD are proved, such as the fractional derivative of a squa...

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Главные авторы:	Ravi P. Agarwal, Snezhana Hristova, Donal O’Regan
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2023-06-01
Серии:	Axioms
Предметы:	BAM neural networks Mittag-Leffler-type stability fractional differential equations generalized proportional Riemann–Liouville fractional derivative
Online-ссылка:	https://www.mdpi.com/2075-1680/12/6/588
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