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

Fuente: arXiv
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Hauptverfasser: Zúñiga-Galindo, W. A., Zambrano-Luna, B. A., Dibba, Baboucarr
Format: Preprint
Veröffentlicht: 2024
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author Zúñiga-Galindo, W. A.
Zambrano-Luna, B. A.
Dibba, Baboucarr
author_facet Zúñiga-Galindo, W. A.
Zambrano-Luna, B. A.
Dibba, Baboucarr
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2406_07790
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Hierarchical Neural Networks, p-Adic PDEs, and Applications to Image Processing
Zúñiga-Galindo, W. A.
Zambrano-Luna, B. A.
Dibba, Baboucarr
Neural and Evolutionary Computing
Artificial Intelligence
Image and Video Processing
Analysis of PDEs
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.
title Hierarchical Neural Networks, p-Adic PDEs, and Applications to Image Processing
topic Neural and Evolutionary Computing
Artificial Intelligence
Image and Video Processing
Analysis of PDEs
url https://arxiv.org/abs/2406.07790