The main aim of this paper is to discuss moment exponential stability for a stochastic reaction-diffusion neural network with time-varying delays and p-Laplacian. Using the Itô formula, a delay differential inequality and the characteristics of the neural network, the algebraic conditions for the moment exponential stability of the nonconstant equilibrium solution are derived. An example is also given for illustration
Stochastic effects on convergence dynamics of reaction-diffusion Cohen-Grossberg neural networks CGN...
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In this paper, a generalized reaction-diffusion model of Cohen-Grossberg neural networks with time-v...
This paper is concerned with pth moment exponential stability of stochastic reaction-diffusion Cohen...
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In this paper, the issue of pth moment exponential stability of stochastic recurrent neural network ...
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This work concerns the stability of impulsive Cohen-Grossberg neural networks with time-varying dela...
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AbstractIn this paper, we investigate the stochastic functional differential equations with infinite...
The authors in their papers (Liao and Mao, Stochast. Anal. Appl. 14 (2) (1996a) 165-185; Neural, Par...
This paper studies the problems of global exponential stability of reaction-diffusion high-order Mar...
Impulsive bidirectional associative memory neural network model with time-varying delays and reactio...
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Stochastic effects on convergence dynamics of reaction-diffusion Cohen-Grossberg neural networks CGN...
This paper is concerned with the problem of mean-square exponential stability of uncertain neural ne...
In this paper, a generalized reaction-diffusion model of Cohen-Grossberg neural networks with time-v...
This paper is concerned with pth moment exponential stability of stochastic reaction-diffusion Cohen...
This paper studies the asymptotic behavior for a class of delayed reaction-diffusion Hopfield neural...
In this paper, the issue of pth moment exponential stability of stochastic recurrent neural network ...
This paper is concerned with the stability of impulsive stochastic reaction-diffusion differential s...
This work concerns the stability of impulsive Cohen-Grossberg neural networks with time-varying dela...
In this paper, the issue of pth moment stability of a class of stochastic neural networks with mixed...
AbstractIn this paper, we investigate the stochastic functional differential equations with infinite...
The authors in their papers (Liao and Mao, Stochast. Anal. Appl. 14 (2) (1996a) 165-185; Neural, Par...
This paper studies the problems of global exponential stability of reaction-diffusion high-order Mar...
Impulsive bidirectional associative memory neural network model with time-varying delays and reactio...
This paper considers the problem of exponential stability analysis of neural networks with time-vary...
AbstractIn this paper, the exponential periodicity and stability of neural networks with Lipschitz c...
Stochastic effects on convergence dynamics of reaction-diffusion Cohen-Grossberg neural networks CGN...
This paper is concerned with the problem of mean-square exponential stability of uncertain neural ne...
In this paper, a generalized reaction-diffusion model of Cohen-Grossberg neural networks with time-v...