NEAIIVAPJun 12, 2024

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

arXiv:2406.07790v113 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of developing novel neural network architectures for image processing, but it appears incremental as it builds upon existing p-adic cellular neural networks.

The authors introduced a new type of p-adic reaction-diffusion cellular neural network with delay, studying its stability and providing numerical simulations of responses, while also reviewing the state of the art of p-adic cellular neural networks and their 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.

Foundations

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