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

Bibliographic Details
Main Author: Alih, Sophia C.
Format: Thesis
Published: 2007
Subjects:
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author Alih, Sophia C.
author_facet Alih, Sophia C.
author_sort Alih, Sophia C.
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spelling utm.eprints-223172013-11-30T11:24:33Z http://eprints.utm.my/22317/ The application of artificial neural network in nondestructive testing for concrete bridge inspection rating system Alih, Sophia C. TA Engineering (General). Civil engineering (General) 2007 Thesis NonPeerReviewed Alih, Sophia C. (2007) The application of artificial neural network in nondestructive testing for concrete bridge inspection rating system. Masters thesis, Universiti Teknologi Malaysia, Faculty of Civil Engineering.
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
title 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_short 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
topic TA Engineering (General). Civil engineering (General)
work_keys_str_mv AT alihsophiac theapplicationofartificialneuralnetworkinnondestructivetestingforconcretebridgeinspectionratingsystem
AT alihsophiac applicationofartificialneuralnetworkinnondestructivetestingforconcretebridgeinspectionratingsystem