This paper considers a generalized model of high-order hybrid neural networks with time-varying delays and impulsive effects is considered.

This paper considers a generalized model of high-order hybrid neural networks with time-varying delays and impulsive effects is considered.

This paper considers a generalized model of high-order hybrid neural networks with time-varying delays and impulsive effects is considered. By establishing an ...

This paper considers a generalized model of high-order hybrid neural networks with time-varying delays and impulsive effects is considered.

In this paper, we discuss the stability of high-order Hopfield neural networks with state-dependent impulses. Under some necessary assumptions, ...

In [28], stability criteria for high-order networks with proportional delay were studied based on matrix measure, Lyapunov functional and Halanay inequality.

22 Oct 2024 · Some sufficient theorems have been derived under different conditions to guarantee the global exponential stability of the networks. Moreover, ...

This paper investigates the exponential stability of a class of neutral inertial neural networks with multi-proportional delays and leakage delays.

This paper considers the global exponential stability (GES) of high-order bidirectional associative memory (BAM) neural networks with proportional delays.

Abstract:In this paper, a class of neutral high-order stochastic Hopfield neural networks with Markovian jump parameters and mixed time delays is investigated.