An Improved Ensemble of Random Vector Functional Link Networks Based on Particle Swarm Optimization with Double Optimization Strategy

For ensemble learning, how to select and combine the candidate classifiers are two key issues which influence the performance of the ensemble system dramatically. Random vector functional link networks (RVFL) without direct input-to-output links is one of suitable base-classifiers for ensemble syste...

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Detalles Bibliográficos
Autores principales: Ling, Qing-Hua, Song, Yu-Qing, Han, Fei, Yang, Dan, Huang, De-Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106042/
https://www.ncbi.nlm.nih.gov/pubmed/27835638
http://dx.doi.org/10.1371/journal.pone.0165803

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106042/
https://www.ncbi.nlm.nih.gov/pubmed/27835638
http://dx.doi.org/10.1371/journal.pone.0165803

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