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 …

Artificial neural network (ANN) is the backbone of machine learning, specifically deep
learning. The interpolating and learning ability of an ANN makes it an ideal tool for …

The trait of solution, bifurcation mechanism, and stability of delayed BAM neural network
models have attracted great attention from many scholars. But the exploration about the …

This paper is concerned with the finite-time synchronization problem for fractional-order
complex dynamical networks (FCDNs) with intermittent control. Using the definition of …

This paper focuses on the robust stability analysis of fractional-order quaternion-valued
neural networks (FOQVNNs) with neutral delay and parameter uncertainties. Without …

In this article, a general approach to fixed-time synchronization problem is investigated for
the general system of fractional-order multidimension-valued fuzzy memristive neural …

In this paper, a new case of neural networks called fractional-order octonion-valued
bidirectional associative memory neural networks (FOOVBAMNNs) is established. First, the …

This paper studies the global Mittag–Leffler stability and stabilization analysis of fractional-
order quaternion-valued memristive neural networks (FOQVMNNs). The state feedback …

This paper proposes two methods to investigate the problem of finite-time Mittag-Leffler
synchronization for the systems of fractional-order quaternion-valued neural networks …

We study the global asymptotic stability problem with respect to the fractional-order
quaternion-valued bidirectional associative memory neural network (FQVBAMNN) models in …