A Novel Reformed Reduced Kernel Extreme Learning Machine with RELIEF-F for Classification

With the exponential growth of the Internet population, scientists and researchers face the large-scale data for processing. However, the traditional algorithms, due to their complex computation, are not suitable for the large-scale data, although they play a vital role in dealing with large-scale d...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Zongying, Hao, Jiangling, Yang, Dongrui, Tahir, Ghalib Ahmed, Pan, Mingyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970950/
https://www.ncbi.nlm.nih.gov/pubmed/35371239
http://dx.doi.org/10.1155/2022/4795535

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970950/
https://www.ncbi.nlm.nih.gov/pubmed/35371239
http://dx.doi.org/10.1155/2022/4795535

Ejemplares similares