Global exponential stability and existence of almost periodic solutions in distribution for Clifford-valued stochastic high-order Hopfield neural networks with time-varying delays

In this paper, we consider a class of Clifford-valued stochastic high-order Hopfield neural networks with time-varying delays whose coefficients are Clifford numbers except the time delays. Based on the Banach fixed point theorem and inequality techniques, we obtain the existence and global exponent...

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書誌詳細

出版年:	AIMS Mathematics
主要な著者:	Nina Huo, Bing Li, Yongkun Li
フォーマット:	論文
言語:	英語
出版事項:	AIMS Press 2022-01-01
主題:	clifford-valued neural network stochastic neural network high-order hopfield neural network almost periodic solution in distribution global exponential stability
オンライン･アクセス:	https://www.aimspress.com/article/doi/10.3934/math.2022202?viewType=HTML