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 …

Exponential Euler discrete schemes have been widely employed in the studies of Caputo
fractional order differential equations, but almost no literature concerns the Caputo–Fabrizio …

This paper investigates the cluster synchronization of coupled neural networks with reaction–
diffusion terms. With the help of impulsive control strategies, some cluster synchronization …

In recent years, there have been a lot of studies focusing on the dynamics of fractional-order
neural networks (FONNs). One problem is that the standard Lyapunov theory does not apply …

This paper is concerned with finite-time synchronization and finite-time synchronization for
coupled neural networks with multiple state/derivative couplings. Firstly, several sufficient …

The synchronization control for delayed neural networks (DNNs) via a sampled-data
controller considering communication delay is studied by input delay approach. Although …

Finite-time synchronization (FTS) of uncertain fractional-order memristive neural networks
(FMNNs) with leakage and discrete delays is studied in this paper, in which the impacts of …

Few papers have been published to date regarding the stability of neural networks
described by fractional difference operators. This paper makes a contribution to the topic by …

In this paper, we analyze the global asymptotic stability and global exponential stability with
respect to the Clifford-valued neutral-type neural network (NN) models with time delays. By …

This paper focuses on the growth, development, and future of various forms of fractional-
order neural networks. Multiple advances in structure, learning algorithms, and methods …