Synchronization between Bidirectional Coupled Nonautonomous Delayed Cohen-Grossberg Neural Networks [PDF]
Abstract and Applied Analysis, 2012 Based on using suitable Lyapunov function and the properties of M-matrix, sufficient conditions for complete synchronization of bidirectional coupled nonautonomous Cohen-Grossberg neural networks are obtained.
Qiming Liu, Rui Xu
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Attractor and Boundedness of Switched Stochastic Cohen-Grossberg Neural Networks [PDF]
Discrete Dynamics in Nature and Society, 2016 We address the problem of stochastic attractor and boundedness of a class of switched Cohen-Grossberg neural networks (CGNN) with discrete and infinitely distributed delays.
Chuangxia Huang, Jie Cao, Peng Wang
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New conditions for stability of multiple delayed Cohen-Grossberg Neural Networks of neutral-type. [PDF]
PLoS ONEIn this research article, we essentially aim to examine the stability properties of a certain type of Cohen-Grossberg neural network. The analysed neural network involves multiple delay parameters.
Neyir Ozcan
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Stochastic Dynamics of Nonautonomous Cohen-Grossberg Neural Networks
Abstract and Applied Analysis, 2011 This paper is devoted to the study of the stochastic stability of a class of Cohen-Grossberg neural networks, in which the interconnections and delays are time-varying.
Chuangxia Huang, Jinde Cao
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Exponential stability analysis for delayed stochastic Cohen-Grossberg neural network [PDF]
International Journal of Computational Intelligence Systems, 2010 In this paper, the exponential stability problems are addressed for a class of delayed Cohen-Grossberg neural networks which are also perturbed by some stochastic noises.
Guanjun Wang, Jinling Liang
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Global exponential convergence of delayed inertial Cohen–Grossberg neural networks
Nonlinear Analysis, 2023 In this paper, the exponential convergence of delayed inertial Cohen–Grossberg neural networks (CGNNs) is studied. Two methods are adopted to discuss the inertial CGNNs, one is expressed as two first-order differential equations by selecting a variable ...
Yanqiu Wu +4 more
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Stability Analysis of Cohen–Grossberg Neural Networks with Random Impulses [PDF]
Mathematics, 2018 The Cohen and Grossberg neural networks model is studied in the case when the neurons are subject to a certain impulsive state displacement at random exponentially-distributed moments.
Ravi Agarwal +3 more
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Stability Analysis of Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays
IEEE Access, 2022 By improving a previously introduced Lyapunov functional,this paper addressed the stability issue about neutral-type Cohen-Grossberg neural networks with multiple time-varying delays in the states of neurons and the time derivative of states of neurons ...
Binbin Gan, Biao Xu, Hao Chen
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Mathematics, 2023 This article is concerned with fixed-time synchronization and preassigned-time synchronization of Cohen–Grossberg quaternion-valued neural networks with discontinuous activation functions and generalized time-varying delays.
Shichao Jia, Cheng Hu, Haijun Jiang
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Stability Analysis of Neutral-Type Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays
IEEE Access, 2020 This paper deals with the problem for stability of neutral-type Cohen-Grossberg neural networks involving delay parameters. In the neutral-type neural networks, the states of the neurons involve multiple time-varying delays and time derivative of states ...
Li Wan, Qinghua Zhou
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