Feature Selection and Parameters Optimization of SVM Using Particle Swarm Optimization for Fault Classification in Power Distribution Systems

Fast and accurate fault classification is essential to power system operations. In this paper, in order to classify electrical faults in radial distribution systems, a particle swarm optimization (PSO) based support vector machine (SVM) classifier has been proposed. The proposed PSO based SVM classi...

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Detalles Bibliográficos
Autores principales: Cho, Ming-Yuan, Hoang, Thi Thom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525094/
https://www.ncbi.nlm.nih.gov/pubmed/28781591
http://dx.doi.org/10.1155/2017/4135465

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525094/
https://www.ncbi.nlm.nih.gov/pubmed/28781591
http://dx.doi.org/10.1155/2017/4135465

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