Publicação:
A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection

Nenhuma Miniatura disponível

Data

2011-11-01

Orientador

Coorientador

Pós-graduação

Curso de graduação

Título da Revista

ISSN da Revista

Título de Volume

Editor

Pergamon-Elsevier B.V. Ltd

Tipo

Artigo

Direito de acesso

Acesso restrito

Resumo

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.

Descrição

Palavras-chave

Idioma

Inglês

Como citar

Computers & Electrical Engineering. Oxford: Pergamon-Elsevier B.V. Ltd, v. 37, n. 6, p. 886-894, 2011.

Itens relacionados

Unidades

Departamentos

Cursos de graduação

Programas de pós-graduação