Add to ORKGIn this paper, a generalized reaction-diffusion model of Cohen-Grossberg neural networks with time-varying and distributed delays is investigated. By employing analytic methods, inequality technique and M-matrix theory, some sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium point for Cohen-Grossberg neural networks with time-varying and distributed de-lays are obtained. Several examples are given to show the effectiveness of the obtained results
Abstract—This paper is concerned with the global asymptotic stability of a class of Cohen–Grossberg ...
This paper studies the global exponential stability for a class of impulsive disturbance complex-val...
Stochastic effects on convergence dynamics of reaction-diffusion Cohen-Grossberg neural networks CGN...
In this paper, a generalized model of Cohen-Grossberg neural networks (CGNNs) with time-varying dela...
The problems of existence, uniqueness and global exponential stability of the equilibrium of Cohen-G...
This paper is concerned with pth moment exponential stability of stochastic reaction-diffusion Cohen...
This paper studies the problems of existence, uniqueness, global asymptotic stability and global exp...
In this paper, the problem of stability analysis for a class of impulsive Cohen-Grossberg neural net...
In this paper, a generalized model of Cohen-Grossberg neural net-works with periodic coefficients an...
This work concerns the stability of impulsive Cohen-Grossberg neural networks with time-varying dela...
In this paper, using a fixed-point theorem and re-duction to absurdity, we have obtained some suffi-...
This paper investigates dynamical behaviors of stochastic Cohen-Grossberg neural network with delays...
This paper presents a new sufficient condition for the existence, uniqueness and global asymptotic s...
A class of interval Cohen-Grossberg neural networks with time-varying delays and infinite distribute...
AbstractA model describing the dynamics of Cohen-Grossberg neural networks with time-delays and impu...
Abstract—This paper is concerned with the global asymptotic stability of a class of Cohen–Grossberg ...
This paper studies the global exponential stability for a class of impulsive disturbance complex-val...
Stochastic effects on convergence dynamics of reaction-diffusion Cohen-Grossberg neural networks CGN...
In this paper, a generalized model of Cohen-Grossberg neural networks (CGNNs) with time-varying dela...
The problems of existence, uniqueness and global exponential stability of the equilibrium of Cohen-G...
This paper is concerned with pth moment exponential stability of stochastic reaction-diffusion Cohen...
This paper studies the problems of existence, uniqueness, global asymptotic stability and global exp...
In this paper, the problem of stability analysis for a class of impulsive Cohen-Grossberg neural net...
In this paper, a generalized model of Cohen-Grossberg neural net-works with periodic coefficients an...
This work concerns the stability of impulsive Cohen-Grossberg neural networks with time-varying dela...
In this paper, using a fixed-point theorem and re-duction to absurdity, we have obtained some suffi-...
This paper investigates dynamical behaviors of stochastic Cohen-Grossberg neural network with delays...
This paper presents a new sufficient condition for the existence, uniqueness and global asymptotic s...
A class of interval Cohen-Grossberg neural networks with time-varying delays and infinite distribute...
AbstractA model describing the dynamics of Cohen-Grossberg neural networks with time-delays and impu...
Abstract—This paper is concerned with the global asymptotic stability of a class of Cohen–Grossberg ...
This paper studies the global exponential stability for a class of impulsive disturbance complex-val...
Stochastic effects on convergence dynamics of reaction-diffusion Cohen-Grossberg neural networks CGN...