FAdamWav: A Fractional Wavelet Gradient Optimizer for Neural Networks

The optimizer is a critical element of neural networks because it computes their optimal parameters through a training process. The Adam optimizer is considered the state of the art in deep learning. However, a drawback is the cost of storing and computing their gradients. A useful tool for addressi...

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Bibliographic Details

Main Authors:	Oscar Herrera-Alcántara, Salvador Arellano-Balderas, Sandra Rodríguez-Mondragón, José Alejandro Reyes-Ortíz, Jaime Navarro-Fuentes
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2026-02-01
Series:	Fractal and Fractional
Subjects:	machine learning fractional derivative gradient-based optimizers wavelets
Online Access:	https://www.mdpi.com/2504-3110/10/3/149
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