Feature Selection Based on Adaptive Particle Swarm Optimization with Leadership Learning

With the rapid development of the Internet of Things (IoT), the curse of dimensionality becomes increasingly common. Feature selection (FS) is to eliminate irrelevant and redundant features in the datasets. Particle swarm optimization (PSO) is an efficient metaheuristic algorithm that has been succe...

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Detalles Bibliográficos
Autores principales: Ye, Zhiwei, Xu, Yi, He, Qiyi, Wang, Mingwei, Bai, Wanfang, Xiao, Hongwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441366/
https://www.ncbi.nlm.nih.gov/pubmed/36072739
http://dx.doi.org/10.1155/2022/1825341

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441366/
https://www.ncbi.nlm.nih.gov/pubmed/36072739
http://dx.doi.org/10.1155/2022/1825341

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