Recently, the dynamical behaviors of coupled neural networks (CNNs) with and without
reaction-diffusion terms have been widely researched due to their successful applications in …

In this paper, we are concerned with the finite-time synchronization of a class of inertial
neural networks with time delays. Without applying some finite-time stability theorems, which …

The problem of fixed-time synchronization (FTS) control for memristive neural networks
(MNNs) with discrete timedelay and inertia term is investigated in this work. Firstly, delayed …

This paper studies a class of inertial neural networks with delays. By utilizing differential
inequality analysis, some novel assertions are gained to validate the global exponential …

In this paper, without transforming the second order inertial neural networks into the first
order differential systems by some variable substitutions, asymptotic stability and …

Introduction. A Noninvasive diagnosis model for digestive diseases is the vital issue for the
current clinical research. Our systematic review is aimed at demonstrating diagnosis …

This paper is concerned with the global exponential dissipativity of memristive inertial neural
networks with discrete and distributed time-varying delays. By constructing appropriate …

This paper mainly deals with the problem of exponential and adaptive synchronization for a
type of inertial complex-valued neural networks via directly constructing Lyapunov …

This paper focuses on the finite-time synchronization for fuzzy neutral-type inertial neural
networks with time-varying coefficients and proportional delays. To end this, by choosing …

It is well known that how to deal with the effect of time delay and how to determine the
control and rest widths are the main difficulties for intermittent control. This paper considers …