Hierarchical Neural Networks, p-Adic PDEs, and Applications to Image Processing
The first goal of this article is to introduce a new type of p-adic reaction–diffusion cellular neural network with delay. We study the stability of these networks and provide numerical simulations of their responses. The second goal is to provide a quick review of the state of the art of p-adic cellular neural networks and their applications to image processing.
Authors
- W. A. Zúñiga‐Galindo (ORCID: https://orcid.org/0000-0002-6332-2520)
- B. A. Zambrano-Luna (ORCID: https://orcid.org/0000-0002-5949-416X)
- Baboucarr Dibba (ORCID: https://orcid.org/0009-0008-0479-3948)
Institutions
- University of Alberta (CA)
- The University of Texas Rio Grande Valley (US)
Publication Details
- Journal
- Journal of Nonlinear Mathematical Physics
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1007/s44198-024-00229-6
- Citations
- 5
- Primary Topic
- advanced mathematical theories
- Type
- article
- Field-Weighted Citation Impact
- 4.45