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An Analysis of Stability of Multiple Delayed Cohen-Grossberg Neural Networks of Neutral Type

2022 7th International Conference on Mathematics and Computers in Sciences and Industry (MCSI), 2022
This research paper presents new results on global asymptotic stability of a larger class of delayed Cohen-Grossberg neural systems involving multiple time delays and multiple neutral delays including continuous Lipschitz activation functions by utilising a modified novel type Lyapunov functional.
Faydasicok O., Arik S.
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Antiperiodic dynamical behaviors of discontinuous neutral‐type Cohen‐Grossberg neural networks with mixed time delays

Computational Intelligence, 2019
AbstractThis article presents a class of neutral‐type Cohen‐Grossberg neural networks with discontinuous activations and mixed time delays. Based on the functional differential inclusions theory, inequality technique, and nonsmooth analysis theory with Lyapunovlike approach, some new sufficient criteria are given to ascertain the existence, uniqueness,
Fanchao Kong, Quanxin Zhu
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Passivity analysis of neutral‐type Cohen–Grossberg neural networks involving three kinds of time‐varying delays

Mathematical Methods in the Applied Sciences
This paper discusses the issue of passivity analysis of the neutral‐type Cohen–Grossberg neural networks (NTCGNNs) with distributed, transmission, and neutral time‐varying delays. A new method based on the system solutions was proposed to analyze passivity.
Jiayang Liu, Yantao Wang, Xin Wang
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