Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models

In this research, we propose two Particle Swarm Optimisation (PSO) variants to undertake feature selection tasks. The aim is to overcome two major shortcomings of the original PSO model, i.e., premature convergence and weak exploitation around the near optimal solutions. The first proposed PSO varia...

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Detalles Bibliográficos
Autores principales: Xie, Hailun, Zhang, Li, Lim, Chee Peng, Yu, Yonghong, Liu, Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961412/
https://www.ncbi.nlm.nih.gov/pubmed/33807806
http://dx.doi.org/10.3390/s21051816

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961412/
https://www.ncbi.nlm.nih.gov/pubmed/33807806
http://dx.doi.org/10.3390/s21051816

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