Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/76524
Type: Artigo de periódico
Title: A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection
Author: Ramos, CCO
Souza, AN
Chiachia, G
Falcao, AX
Papa, JP
Abstract: Finding an optimal subset of features that maximizes classification accuracy is still an open problem. In this paper, we exploit the speed of the Harmony Search algorithm and the Optimum-Path Forest classifier in order to propose a new fast and accurate approach for feature selection. Comparisons to some other pattern recognition and feature selection techniques showed that the proposed hybrid algorithm for feature selection outperformed them. The experiments were carried out in the context of identifying non-technical losses in power distribution systems. (C) 2011 Elsevier Ltd. All rights reserved.
Country: Inglaterra
Editor: Pergamon-elsevier Science Ltd
Rights: fechado
Identifier DOI: 10.1016/j.compeleceng.2011.09.013
Date Issue: 2011
Appears in Collections:Unicamp - Artigos e Outros Documentos

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