An improved chaotic fruit fly optimization based on a mutation strategy for simultaneous feature selection and parameter optimization for SVM and its applications

This paper proposes a new support vector machine (SVM) optimization scheme based on an improved chaotic fly optimization algorithm (FOA) with a mutation strategy to simultaneously perform parameter setting turning for the SVM and feature selection. In the improved FOA, the chaotic particle initializ...

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Detalles Bibliográficos
Autores principales: Ye, Fei, Lou, Xin Yuan, Sun, Lin Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378331/
https://www.ncbi.nlm.nih.gov/pubmed/28369096
http://dx.doi.org/10.1371/journal.pone.0173516

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378331/
https://www.ncbi.nlm.nih.gov/pubmed/28369096
http://dx.doi.org/10.1371/journal.pone.0173516

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