In this work, a bibliographic analysis on artificial neural networks (ANNs) using fractional
calculus (FC) theory has been developed to summarize the main features and applications …

This paper illuminates the issue of bifurcations for a fractional-order bidirectional associative
memory neural network (FOBAMNN) with four different delays. On account of the affirmatory …

Abstract. In the present study, we deal with the stability and the onset of Hopf bifurcation of
twotype delayed BAM neural networks (integer-order case and fractional-order case). By …

This paper expatiates the stability and bifurcation for a fractional-order neural network
(FONN) with double leakage delays. Firstly, the characteristic equation of the developed …

This paper describes a new global robust stability analysis of bidirectional associative
memory (BAM) neural networks. Under parameter uncertainty, we find a new upper bound …

In this article, the quasi-projective synchronization (QPS) issues about discrete-time
fractional-order complex-valued neural networks (DFOCVNNs) are discussed. To realize …

In the present work, new fractional order BAM neural networks with multiple delays are
formulated. Firstly, we study the existence and uniqueness of solution of the constructed …

This paper is concentrated on exploring the exponential synchronization of reaction-
diffusion coupled neural networks with fractional-order and impulses. Firstly, an extended …

This paper is dedicated to the global Mittag-Leffler synchronization (GMLS) of fractional-
order inertial-type neural networks (FOITNNs) with time delays. To begin with, based on the …

This work addresses the quasi-synchronization of delay master–slave BAM neural networks.
To improve the utilization of channel bandwidth, a dynamic event-triggered impulsive …