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ON GLOBAL ROBUST STABILITY FOR COMPETITIVE NEURAL NETWORKS WITH TIME DELAYS AND DIFFERENT TIME SCALES 被引量:2

ON GLOBAL ROBUST STABILITY FOR COMPETITIVE NEURAL NETWORKS WITH TIME DELAYS AND DIFFERENT TIME SCALES
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摘要 In this paper, using the theory of topological degree and Liapunov functional methods, the authors study the competitive neural networks with time delays and different time scales and present some criteria of global robust stability for this neural network model. In this paper, using the theory of topological degree and Liapunov functional methods, the authors study the competitive neural networks with time delays and different time scales and present some criteria of global robust stability for this neural network model.
出处 《Annals of Differential Equations》 2006年第3期339-342,共4页 微分方程年刊(英文版)
基金 This paper is supported by the National Natural Science Foundation of China under Grant 10171072.
关键词 competitive neural networks robust stability time delays competitive neural networks, robust stability, time delays
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