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Stability Analysis of Cohen–Grossberg Type BAM Neural Network with Piecewise Constant Argument
Discrete Dynamics in Nature and Society, 2023 This paper introduces the stability problems of Cohen–Grossberg type BAM neural network (BAMCGNN) with piecewise constant argument (PCA). By employing the homeomorphism theory, sufficient conditions for the existence and uniqueness of the equilibrium ...
Wenqing Zheng, Tao Xie, Wenxiang Fang
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Bifurcation of a Cohen-Grossberg Neural Network with Discrete Delays [PDF]
Abstract and Applied Analysis, 2012 A simple Cohen-Grossberg neural network with discrete delays is investigated in this paper. The existence of local Hopf bifurcations is first considered by choosing the appropriate bifurcation parameter, and then explicit formulas are given to determine ...
Qiming Liu, Wang Zheng
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Stability and Hopf Bifurcation of an n-Neuron Cohen-Grossberg Neural Network with Time Delays [PDF]
Journal of Applied Mathematics, 2014 A Cohen-Grossberg neural network with discrete delays is investigated in this paper. Sufficient conditions for the existence of local Hopf bifurcation are obtained by analyzing the distribution of roots of characteristic equation. Moreover, the direction
Qiming Liu, Sumin Yang
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Electronic Journal of Differential Equations, 2005 We study the existence and exponential attractivity of periodic solutions to Cohen-Grossberg neural network with distributed delays. Our results are obtained by applying the continuation theorem of coincidence degree theory and a general Halanay ...
Yongkun Li, Lifei Zhu
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Dynamical Behaviors of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Delays [PDF]
Abstract and Applied Analysis, 2012 This paper investigates dynamical behaviors of stochastic Cohen-Grossberg neural network with delays and reaction diffusion. By employing Lyapunov method, Poincaré inequality and matrix technique, some sufficient criteria on ultimate boundedness, weak ...
Li Wan, Qinghua Zhou, Jizi Li
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, 2021 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 neurons and multiple neutral delays in time derivative of states of the ...
FAYDASIÇOK, Özlem
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New results for global stability of Cohen-Grossberg neural networks with discrete time delays
, 2021 This paper studies the global convergence properties of Cohen-Grossberg neural networks with multiple time delays. Without assuming the symmetry of interconnection weight coefficients, and the differentiability and boundedness of activation functions ...
ORMAN, ZEYNEP, ARIK, SABRİ
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, 2021 The essential objective of this research article is to investigate stability issue of neutral-type Cohen- Grossberg neural networks involving multiple time delays in states of neurons and multiple neutral delays in time derivatives of states of neurons ...
FAYDASIÇOK, Özlem
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Inequalities and Stability of Stochastic Fuzzy Delayed Cohen-Grossberg Neural Networks
IEEE Access, 2023 Stability is an important indicator for evaluating complex dynamic systems’ performance. Many problems in practice are abstracted into the stability of networks.
Hebing Zhang
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Mathematics, 2020 The present paper is devoted to Bidirectional Associative Memory (BAM) Cohen−Grossberg-type impulsive neural networks with time-varying delays.
Gani Stamov +3 more
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