A Novel Feature Selection Method Based on Extreme Learning Machine and Fractional-Order Darwinian PSO

The paper presents a novel approach for feature selection based on extreme learning machine (ELM) and Fractional-order Darwinian particle swarm optimization (FODPSO) for regression problems. The proposed method constructs a fitness function by calculating mean square error (MSE) acquired from ELM. A...

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Detalles Bibliográficos
Autores principales: Wang, Yuan-Yuan, Zhang, Huan, Qiu, Chen-Hui, Xia, Shun-Ren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960553/
https://www.ncbi.nlm.nih.gov/pubmed/29853832
http://dx.doi.org/10.1155/2018/5078268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960553/
https://www.ncbi.nlm.nih.gov/pubmed/29853832
http://dx.doi.org/10.1155/2018/5078268

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