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.
Authors
- Yongkun Li (ORCID: https://orcid.org/0000-0003-0182-6288)
- Bing Li (ORCID: https://orcid.org/0000-0003-0992-5854)
- Ning Yuan (ORCID: https://orcid.org/0000-0002-1839-8622)
Institutions
- Minzu University of China (CN)
- Yunnan University (CN)
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
- Field-Weighted Citation Impact
- 0.00