This research work studies stability problems for more general models of neutral-type neural
systems where both neuron states and the time derivative of neuron states involve multiple …

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 …

This paper investigates the problem for stability of neutral-type dynamical neural networks
involving delay parameters. Different form the previously reported results, 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 …

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 …

In this paper, we study the finite-time stability problem of neutral-type neural networks with
various hybrid time-varying delays. These delays include general time-varying delays, finite …

In this article, the problem of global exponential stability in Lagrange sense of neutral type
complex‐valued neural networks (CVNNs) with delays is investigated. Two different classes …

For a class of neutral-type Cohen–Grossberg neural networks with multiple discrete and
neutral delays, the existence and uniqueness of equilibrium point are derived by the …

This paper concentrates on the global exponential Lagrange stability of memristive
quaternion-valued neural networks (MQVNNs) with neutral items. Some classical restrictions …

This paper discusses the finite-time stabilization of a class of discontinuous fuzzy neutral-
type neural networks with multiple time-varying delays. For the purpose of achieving this …