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

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.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025549
Primary Topic
Neural Networks and Applications
Type
article
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article

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

Yongkun Li, Bing Li, Ning Yuan
AIMS Mathematics
Neural Networks and Applications
article

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

Yongkun Li, Bing Li, Ning Yuan
article en

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.

AIMS MathematicsVol. 10(5)
Minzu University of China (CN), Yunnan University (CN)
Openalex Percentile: Top 95%
Neural Networks and Applications
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Besicovitch almost periodic solutions to Clifford-valued high-order Hopfield fuzzy neural networks with a $ D $ operator — Yongkun Li, Bing Li, et al. · AIMS Mathematics (2025) | TGRS Research Map | TGRS