Boosting ridge for the extreme learning machine globally optimised for classification and regression problems

This paper explores the boosting ridge (BR) framework in the extreme learning machine (ELM) community and presents a novel model that trains the base learners as a global ensemble. In the context of Extreme Learning Machine single-hidden-layer networks, the nodes in the hidden layer are preconfigure...

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Detalles Bibliográficos
Autores principales: Peralez-González, Carlos, Pérez-Rodríguez, Javier, Durán-Rosal, Antonio M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362034/
https://www.ncbi.nlm.nih.gov/pubmed/37479841
http://dx.doi.org/10.1038/s41598-023-38948-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362034/
https://www.ncbi.nlm.nih.gov/pubmed/37479841
http://dx.doi.org/10.1038/s41598-023-38948-3

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