Results 51 to 60 of about 438 (172)
In this paper, the adaptive synchronization problem of quaternion-valued Cohen–Grossberg neural networks (QVCGNNs), with and without known parameters, is investigated. On the basis of constructing an appropriate Lyapunov function, and utilizing parameter
Jun Guo +4 more
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A class of impulsive Cohen-Grossberg neural networks with time delay in the leakage term is investigated. By using the method of M-matrix and the technique of delay differential inequality, the attracting and invariant sets of the networks are obtained ...
Guiying Chen, Linshan Wang
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This article focuses on the problem of finite-time and fixed-time synchronization for Cohen–Grossberg neural networks (CGNNs) with time-varying delays and memristor connection weights.
Mei Liu +4 more
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A class of Cohen-Grossberg-type BAM neural networks with distributed delays and impulses are investigated in this paper. Sufficient conditions to guarantee the uniqueness and global exponential stability of the periodic solutions of such networks are ...
Qiming Liu, Rui Xu
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Information Processing with Stability Point Modeling in Cohen–Grossberg Neural Networks
The aim of this article is to develop efficient methods of expressing multilevel structured information from various modalities (images, speech, and text) in order to naturally duplicate the structure as it occurs in the human brain.
Ekaterina Gospodinova, Ivan Torlakov
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BAM-type Cohen–Grossberg neural networks with time delays
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Haijun Jiang, Jinde Cao
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Global Convergence for Cohen-Grossberg Neural Networks with Discontinuous Activation Functions
Cohen-Grossberg neural networks with discontinuous activation functions is considered. Using the property of M-matrix and a generalized Lyapunov-like approach, the uniqueness is proved for state solutions and corresponding output solutions, and ...
Yanyan Wang, Jianping Zhou
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Dynamics of Delayed Cohen-Grossberg Neural Networks
Abstract This paper studies the boundedness of Cohen-Grossberg neural networks with discrete delays and distributed delays (CGNN). Applying Lyapunov function and linear matrix inequalities technique (LMI), some novel sufficient conditions on the issue of the uniformly ultimate boundness, the existence of an attractor and the globally exponential ...
Chang, Ancheng +2 more
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This paper is concerned with pth moment exponential stability of stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying delays.
Chuangxia Huang, Xinsong Yang, Yigang He
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Antiperiodic Solutions to Impulsive Cohen-Grossberg Neural Networks with Delays on Time Scales
We use the method of coincidence degree and construct suitable Lyapunov functional to investigate the existence and global exponential stability of antiperiodic solutions of impulsive Cohen-Grossberg neural networks with delays on time scales.
Yanqin Wang, Maoan Han
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