Hierarchical Neural Networks, p-Adic PDEs, and Applications to Image Processing

Authors

Wilson A. Zuniga-Galindo, The University of Texas Rio Grande ValleyFollow
B. A. Zambrano-Luna
Baboucarr Dibba, The University of Texas Rio Grande Valley

Document Type

Article

Publication Date

9-16-2024

Abstract

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.

Comments

Copyright © 2024, The Author(s). This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.

Recommended Citation

Zúñiga-Galindo, W. A., B. A. Zambrano-Luna, and Baboucarr Dibba. 2024. “Hierarchical Neural Networks, p-Adic PDEs, and Applications to Image Processing.” Journal of Nonlinear Mathematical Physics 31 (1): 63. https://doi.org/10.1007/s44198-024-00229-6

Publication Title

Journal of Nonlinear Mathematical Physics

DOI

https://doi.org/10.1007/s44198-024-00229-6