The application of artificial neural network in nondestructive testing for concrete bridge inspection rating system

The application of artificial neural network in nondestructive testing for concrete bridge inspection rating system

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Bibliographic Details
Main Author: Alih, Sophia C.
Format: Thesis
Published: 2007
Subjects:
TA Engineering (General)
Civil engineering (General)
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id my-utm-ep.22317
record_format uketd_dc
spelling my-utm-ep.223172013-11-30T11:24:33Z The application of artificial neural network in nondestructive testing for concrete bridge inspection rating system 2007 Alih, Sophia C. TA Engineering (General). Civil engineering (General) 2007 Thesis http://eprints.utm.my/id/eprint/22317/ masters Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic TA Engineering (General)
Civil engineering (General)
spellingShingle TA Engineering (General)
Civil engineering (General)
Alih, Sophia C.
The application of artificial neural network in nondestructive testing for concrete bridge inspection rating system
description
format Thesis
qualification_level Master's degree
author Alih, Sophia C.
author_facet Alih, Sophia C.
author_sort Alih, Sophia C.
title The application of artificial neural network in nondestructive testing for concrete bridge inspection rating system
title_short The application of artificial neural network in nondestructive testing for concrete bridge inspection rating system
title_full The application of artificial neural network in nondestructive testing for concrete bridge inspection rating system
title_fullStr The application of artificial neural network in nondestructive testing for concrete bridge inspection rating system
title_full_unstemmed The application of artificial neural network in nondestructive testing for concrete bridge inspection rating system
title_sort application of artificial neural network in nondestructive testing for concrete bridge inspection rating system
granting_institution Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department Faculty of Civil Engineering
publishDate 2007
_version_ 1747815424105381888

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