The significant contribution of this paper is the addressing the stability issue of neutral-type
Cohen–Grossberg neural networks possessing multiple time delays in the states of the …

The essential purpose of this work is to conduct an investigation into stability problem for the
class of neutral-type Cohen–Grossberg neural networks including multiple time delays in …

The major target of this research article is to conduct a new Lyapunov stability analysis of a
special model of Cohen–Grossberg neural networks that include multiple delay terms in …

The essential objective of this research article is to investigate stability issue of neutral-type
Cohen–Grossberg neural networks involving multiple time delays in states of neurons and …

We consider a class of stochastic fuzzy delayed Cohen-Grossberg neural networks without
global Lipschitz condition. Based on local Lipschitz condition, we prove the solutions of the …

This paper carries out a theoretical investigation of the class of neutral-type delayed Cohen–
Grossberg neural networks by using the Lyapunov stability theory. By employing a suitable …

The issue of adaptive finite-time cluster synchronization corresponding to neutral-type
coupled complex-valued neural networks with mixed delays is examined in this research. A …

Suspicious mass traffic constantly evolves, making network behaviour tracing and structure
more complex. Neural networks yield promising results by considering a sufficient number of …

This research article will employ the combined Lyapunov functionals method to deal with
stability analysis of a more general type of Cohen–Grossberg neural networks which …

A kind of three-layer neural network with time delays is introduced. By analyzing its
associated characteristic equation, local stability and the existence of Hopf bifurcation of the …