Feature selection for ANNs using genetic algorithms in detection of bearing faults

被引：0
|
作者：
Jack, LB [1 ]
Nandi, AK [1 ]
机构：
[1] Univ Liverpool, Dept Elect & Elect Engn, Liverpool L69 3BX, Merseyside, England
来源：
QUALITY RELIABILITY AND MAINTENANCE (QRM 2000) | 2000年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
One of the main problems facing the use of ANNs is the selection of the best input features to the ANN, allowing the creation of compact, highly accurate networks that require comparatively little preprocessing. This paper examines the use of a Genetic Algorithm (GA) to select the most significant input features from a large set of possible features in machine condition monitoring contexts. It is shown that the GA is able to select a subset of only 6 features from a larger set of 156 different features taken from experimental data, and still give 100% recognition accuracy.
引用
收藏
页码：145 / 149
页数：5
相关论文
共 50 条
  • [1] Feature selection for computer-aided polyp detection using genetic algorithms
    Miller, MT
    Jerebko, AK
    Malley, JD
    Summers, RM
    [J]. MEDICAL IMAGING 2003: PHYSIOLOGY AND FUNCTION: METHODS, SYSTEMS, AND APPLICATIONS, 2003, 5031 : 102 - 110
  • [2] SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming
    Rodrigues, Nuno M.
    Batista, Joao E.
    La Cava, William
    Vanneschi, Leonardo
    Silva, Sara
    [J]. GENETIC PROGRAMMING (EUROGP 2022), 2022, : 68 - 84
  • [3] Feature selection for texture analysis using genetic algorithms
    Doloca, A
    [J]. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2000, 74 (03) : 279 - 292
  • [4] Feature Selection Using the Domain Relationship with Genetic Algorithms
    Nidapan Chaikla
    Yulu Qi
    [J]. Knowledge and Information Systems, 1999, 1 (3) : 377 - 390
  • [5] Feature Selection For Text Classification Using Genetic Algorithms
    Bidi, Noria
    Elberrichi, Zakaria
    [J]. PROCEEDINGS OF 2016 8TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION & CONTROL (ICMIC 2016), 2016, : 806 - 810
  • [6] Feature Selection Using the Domain Relationship with Genetic Algorithms
    Chaikla, Nidapan
    Qi, Yulu
    [J]. Knowledge and Information Systems, 1999, 1 (03): : 377 - 390
  • [7] Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks
    Solanas, Agusti
    Romero, Enrique
    Gomez, Sergio
    Sopena, Josep M.
    Alquezar, Rene
    Domingo-Ferrer, Josep
    [J]. ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT, 2005, 131 : 41 - 48
  • [8] Feature subset selection for face detection using genetic algorithms and particle swarm optimization
    Shoorehdeli, Mahdi Aliyari
    Teshnehlab, Mohammad
    Moghaddam, H. Abrishami
    [J]. PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, 2006, : 686 - 690
  • [9] Feature selection and multiple classifier fusion using genetic algorithms in intrusion detection systems
    Ozgur, Atilla
    Erdem, Hamit
    [J]. JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2018, 33 (01): : 75 - 87
  • [10] Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming
    Rodrigues N.M.
    Batista J.E.
    Cava W.L.
    Vanneschi L.
    Silva S.
    [J]. SN Computer Science, 5 (1)
12345