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 …

In this article, a multi-underwater unmanned vehicle (UUV) maneuvering decision-making
algorithm is proposed for a counter-game with a dynamic target scenario. The game is …

This paper studies chaotic image encryption technology and an application of matrix semi-
tensor product theory, and a Boolean network encryption algorithm for a synchronous …

This paper analyzes the stability and passivity problems for a class of memristor-based
fractional-order competitive neural networks (MBFOCNNs) by using Caputo's fractional …

Taking into account the infinite distributed delays and reaction-diffusions, this article
investigates the global exponential synchronization problem of a class of memristor-based …

Recently, four-wheeled steerable mobile robots (FSMR) have attracted increasing attention
in industrial fields, however the collision-free trajectory tracking control is still challenging in …

In this article, the exponential stability problem for fractional-order complex multi-links
networks with aperiodically intermittent control is considered. Using the graph theory and …

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 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 …