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Computational Intelligence and Neuroscience
Volume 2017, Article ID 4135465, 9 pages
https://doi.org/10.1155/2017/4135465
Research Article

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

Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

Correspondence should be addressed to Thi Thom Hoang; nv.ude.utn@thmoht

Received 25 March 2017; Accepted 28 May 2017; Published 11 July 2017

Academic Editor: Fabio La Foresta

Copyright © 2017 Ming-Yuan Cho and Thi Thom Hoang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Ming-Yuan Cho and Thi Thom Hoang, “Feature Selection and Parameters Optimization of SVM Using Particle Swarm Optimization for Fault Classification in Power Distribution Systems,” Computational Intelligence and Neuroscience, vol. 2017, Article ID 4135465, 9 pages, 2017. https://doi.org/10.1155/2017/4135465.