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 …

In this paper, a novel kind of neural networks named fractional-order quaternion-valued
bidirectional associative memory neural networks (FQVBAMNNs) is formulated. On one …

In this paper, without transforming the quaternion-valued neural networks into two
equivalent complex-valued systems or four equivalent real-valued systems, a novel class of …

In this article, the finite-time stability (FTS) of fractional-order Hopfield neural networks with
time delays (FHNNTDs) is studied. A widely used inequality in investigating the stability of …

In this paper, with the design of a unified adaptive controller, the fixed-time (FXT) and
predefined-time (PDT) synchronization problems of coupled memristor-based neural …

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 …

In reality, abrupt uncertainty phenomenon may disturb or even break the system stability.
Under these circumstances, it is worthy of studying the stability criteria of impulsive disturbed …

The robust stability and stabilization of a class of fractional order systems under input
saturation is studied using the Lyapunov method. In the problem formulation the Lipchitz and …

This paper deals with the fixed-time stabilization (FXTS) and preassigned-time stabilization
(PATS) problems for delayed memristive neural networks (DMNNs) via a unified controller …

The problem on passive filter design for fractional-order quaternion-valued neural networks
(FOQVNNs) with neutral delays and external disturbance is considered in this paper …