Neural network approach to grading maintainability of wet areas in high rise buildings

Master's

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Bibliographic Details
Main Author:	TAN SHAN SHAN
Other Authors:	BUILDING
Format:	Theses and Dissertations
Language:	English
Published:	2011
Subjects:	Maintainability, grading system, artificial neural networks, wet areas, sensitivity analysis
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/27636
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-27636
record_format	dspace
spelling	sg-nus-scholar.10635-276362015-01-16T07:42:21Z Neural network approach to grading maintainability of wet areas in high rise buildings TAN SHAN SHAN BUILDING CHEW YIT LIN, MICHAEL Maintainability, grading system, artificial neural networks, wet areas, sensitivity analysis Master's MASTER OF SCIENCE (BUILDING) 2011-10-12T18:00:28Z 2011-10-12T18:00:28Z 2003-12-16 Thesis TAN SHAN SHAN (2003-12-16). Neural network approach to grading maintainability of wet areas in high rise buildings. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/27636 NOT_IN_WOS en
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
language	English
topic	Maintainability, grading system, artificial neural networks, wet areas, sensitivity analysis
spellingShingle	Maintainability, grading system, artificial neural networks, wet areas, sensitivity analysis TAN SHAN SHAN Neural network approach to grading maintainability of wet areas in high rise buildings
description	Master's
author2	BUILDING
author_facet	BUILDING TAN SHAN SHAN
format	Theses and Dissertations
author	TAN SHAN SHAN
author_sort	TAN SHAN SHAN
title	Neural network approach to grading maintainability of wet areas in high rise buildings
title_short	Neural network approach to grading maintainability of wet areas in high rise buildings
title_full	Neural network approach to grading maintainability of wet areas in high rise buildings
title_fullStr	Neural network approach to grading maintainability of wet areas in high rise buildings
title_full_unstemmed	Neural network approach to grading maintainability of wet areas in high rise buildings
title_sort	neural network approach to grading maintainability of wet areas in high rise buildings
publishDate	2011
url	http://scholarbank.nus.edu.sg/handle/10635/27636
_version_	1681080599675142144

Neural network approach to grading maintainability of wet areas in high rise buildings

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