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Hybrid neural network - genetic algorithms approch for fault diagnosis of bearing system

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Main Author: Desa, Mohammad Ishak
Format: Conference or Workshop Item
Published: 2011
Online Access:http://eprints.utm.my/id/eprint/45924/
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id my.utm.45924
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spelling my.utm.459242017-08-23T07:19:57Z http://eprints.utm.my/id/eprint/45924/ Hybrid neural network - genetic algorithms approch for fault diagnosis of bearing system Desa, Mohammad Ishak 2011 Conference or Workshop Item PeerReviewed Desa, Mohammad Ishak (2011) Hybrid neural network - genetic algorithms approch for fault diagnosis of bearing system. In: The 1St International Conference On Industrial Engineering And Services Science (Iess 2011).
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
format Conference or Workshop Item
author Desa, Mohammad Ishak
spellingShingle Desa, Mohammad Ishak
Hybrid neural network - genetic algorithms approch for fault diagnosis of bearing system
author_facet Desa, Mohammad Ishak
author_sort Desa, Mohammad Ishak
title Hybrid neural network - genetic algorithms approch for fault diagnosis of bearing system
title_short Hybrid neural network - genetic algorithms approch for fault diagnosis of bearing system
title_full Hybrid neural network - genetic algorithms approch for fault diagnosis of bearing system
title_fullStr Hybrid neural network - genetic algorithms approch for fault diagnosis of bearing system
title_full_unstemmed Hybrid neural network - genetic algorithms approch for fault diagnosis of bearing system
title_sort hybrid neural network - genetic algorithms approch for fault diagnosis of bearing system
publishDate 2011
url http://eprints.utm.my/id/eprint/45924/
_version_ 1643651883533860864
score 13.209306

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