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 integration of the physical and digital world has become increasingly important, and
location-based services have become the most sought-after application in the field of the …

This research investigates the presence of unique solutions and quasi-uniform stability for a
class of fractional-order uncertain BAM neural networks utilizing the Banach fixed point …

This paper is concerned with the guaranteed cost control problem for a class of Markov jump
discrete-time neural networks (NNs) with event-triggered mechanism, asynchronous …

A novel intermittent dynamic event-triggered control is proposed to investigate the
exponential synchronization in mean square (ESMS) of stochastic complex networks …

The main concern of this paper is to address the synchronization problem of chaotic
fractional-order fuzzy cellular neural networks (FOFCNNs) through designing the novel …

Matrix inversion often arises in the fields of science and engineering. Many models for matrix
inversion usually assume that the solving process is free of noises or that the denoising has …

In this paper, a neural-dynamic distributed scheme is proposed for the cooperative control of
multiple redundant manipulators with limited communications. It is guaranteed that, with the …

In this paper, the problems of stability and Hopf bifurcation in a class of fractional-order
complex-valued single neuron model with time delay are addressed. With the help of the …