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Classification of Shewhart X-bar control chart patterns using artificial neural network

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Bibliographic Details
Main Author: Hassan, Adnan
Format: Book Section
Published: Penerbit UTM 2008
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/18890/
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id my.utm.18890
record_format eprints
spelling my.utm.188902012-01-14T04:38:46Z http://eprints.utm.my/id/eprint/18890/ Classification of Shewhart X-bar control chart patterns using artificial neural network Hassan, Adnan TJ Mechanical engineering and machinery Penerbit UTM 2008 Book Section PeerReviewed Hassan, Adnan (2008) Classification of Shewhart X-bar control chart patterns using artificial neural network. In: Advances In Manufacturing and Industrial Engineering. Penerbit UTM , Johor, pp. 93-108. ISBN 978-983-52-0557-4
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/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Hassan, Adnan
Classification of Shewhart X-bar control chart patterns using artificial neural network
format Book Section
author Hassan, Adnan
author_facet Hassan, Adnan
author_sort Hassan, Adnan
title Classification of Shewhart X-bar control chart patterns using artificial neural network
title_short Classification of Shewhart X-bar control chart patterns using artificial neural network
title_full Classification of Shewhart X-bar control chart patterns using artificial neural network
title_fullStr Classification of Shewhart X-bar control chart patterns using artificial neural network
title_full_unstemmed Classification of Shewhart X-bar control chart patterns using artificial neural network
title_sort classification of shewhart x-bar control chart patterns using artificial neural network
publisher Penerbit UTM
publishDate 2008
url http://eprints.utm.my/id/eprint/18890/
_version_ 1643647013967888384
score 13.18916

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