Randomization-Based Deep and Shallow Learning Algorithms (VSI-rdsla)

Prazo para submissão: 30 November 2024

Data de Notificação: 04/08/2025

Editora: Elsevier

Revista: Computers and Electrical Engineering

Link: https://www.sciencedirect.com/special-issue/291559/randomization-based-deep-and-shallow-learning-algorithms-vsi-rdsla

Detalhes:

Randomization-based learning algorithms have received considerable attention from academics, researchers, and domain workers because randomization-based neural networks can be trained by non-iterative approaches possessing closed-form solutions. Those methods are, in general, computationally faster than iterative solutions and less sensitive to parameter settings. Even though randomization-based non-iterative methods have attracted much attention in recent years, their deep structures have not b