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Research Article | Open Access

Besicovitch almost periodic solutions to Clifford-valued high-order Hopfield fuzzy neural networks with a D operator

Bing Li1Yuan Ning1Yongkun Li2( )
School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, Yunnan 650500, China
Department of Mathematics, Yunnan University, Kunming, Yunnan 650091, China
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Abstract

This paper investigated the almost periodic dynamics of a class of Clifford-valued high-order Hopfield fuzzy neural networks with time-varying delays and D operators. Based on the Banach fixed point theorem, inequality techniques, and the definition of Besicovitch almost periodicity, we obtained the existence of Besicovitch almost periodic solutions for the considered neural network. The results of this paper are novel, and the method proposed in this paper can be used to study the existence of generalized almost periodic solutions and almost automorphic solutions to high-order neural networks. Finally, we provided a numerical example and computer simulation to demonstrate the effectiveness of the results obtained in this paper.

CLC number: 34K14, 34K20

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AIMS Mathematics
Pages 12104-12134

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Cite this article:
Li B, Ning Y, Li Y. Besicovitch almost periodic solutions to Clifford-valued high-order Hopfield fuzzy neural networks with a D operator. AIMS Mathematics, 2025, 10(5): 12104-12134. https://doi.org/10.3934/math.2025549

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Received: 18 January 2025
Revised: 18 April 2025
Accepted: 08 May 2025
Published: 15 May 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)