Application of artificial neural network in bridge deck condition rating

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Bibliographic Details
Main Author: Bakhary, Norhisham
Format: Thesis
Published: 2002
Subjects:
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id my-utm-ep.42854
record_format uketd_dc
spelling my-utm-ep.428542020-10-08T04:31:56Z Application of artificial neural network in bridge deck condition rating 2002 Bakhary, Norhisham TG Bridge engineering 2002 Thesis http://eprints.utm.my/id/eprint/42854/ http://libraryopac.utm.my/client/en_AU/main/search/detailnonmodal/ent:$002f$002fSD_ILS$002f0$002fSD_ILS:358801/one?qu=Application+of+artificial+neural+network+in+bridge+deck+condition+rating masters Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic TG Bridge engineering
spellingShingle TG Bridge engineering
Bakhary, Norhisham
Application of artificial neural network in bridge deck condition rating
description
format Thesis
qualification_level Master's degree
author Bakhary, Norhisham
author_facet Bakhary, Norhisham
author_sort Bakhary, Norhisham
title Application of artificial neural network in bridge deck condition rating
title_short Application of artificial neural network in bridge deck condition rating
title_full Application of artificial neural network in bridge deck condition rating
title_fullStr Application of artificial neural network in bridge deck condition rating
title_full_unstemmed Application of artificial neural network in bridge deck condition rating
title_sort application of artificial neural network in bridge deck condition rating
granting_institution Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department Faculty of Civil Engineering
publishDate 2002
_version_ 1747816871010238464