The Construction of Support Vector Machine Classifier Using the Firefly Algorithm

The setting of parameters in the support vector machines (SVMs) is very important with regard to its accuracy and efficiency. In this paper, we employ the firefly algorithm to train all parameters of the SVM simultaneously, including the penalty parameter, smoothness parameter, and Lagrangian multip...

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Detalles Bibliográficos
Autores principales: Chao, Chih-Feng, Horng, Ming-Huwi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352751/
https://www.ncbi.nlm.nih.gov/pubmed/25802511
http://dx.doi.org/10.1155/2015/212719

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352751/
https://www.ncbi.nlm.nih.gov/pubmed/25802511
http://dx.doi.org/10.1155/2015/212719

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