Artificial neural network approach for grading of maintainability in wet areas of high-rise buildings

Architectural Science Review

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Bibliographic Details
Main Authors:	Chew, M.Y.L., De Silva, N., Tan, S.S.
Other Authors:	BUILDING
Published:	2013
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/45575
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-45575
record_format	dspace
spelling	sg-nus-scholar.10635-455752021-12-24T02:13:16Z Artificial neural network approach for grading of maintainability in wet areas of high-rise buildings Chew, M.Y.L. De Silva, N. Tan, S.S. BUILDING Architectural Science Review 47 1 27-42 ASRVA 2013-10-14T04:34:54Z 2013-10-14T04:34:54Z 2004 Chew, M.Y.L., De Silva, N., Tan, S.S. (2004). Artificial neural network approach for grading of maintainability in wet areas of high-rise buildings. Architectural Science Review 47 (1) : 27-42. ScholarBank@NUS Repository. 00038628 http://scholarbank.nus.edu.sg/handle/10635/45575 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	Architectural Science Review
author2	BUILDING
author_facet	BUILDING Chew, M.Y.L. De Silva, N. Tan, S.S.
author	Chew, M.Y.L. De Silva, N. Tan, S.S.
spellingShingle	Chew, M.Y.L. De Silva, N. Tan, S.S. Artificial neural network approach for grading of maintainability in wet areas of high-rise buildings
author_sort	Chew, M.Y.L.
title	Artificial neural network approach for grading of maintainability in wet areas of high-rise buildings
title_short	Artificial neural network approach for grading of maintainability in wet areas of high-rise buildings
title_full	Artificial neural network approach for grading of maintainability in wet areas of high-rise buildings
title_fullStr	Artificial neural network approach for grading of maintainability in wet areas of high-rise buildings
title_full_unstemmed	Artificial neural network approach for grading of maintainability in wet areas of high-rise buildings
title_sort	artificial neural network approach for grading of maintainability in wet areas of high-rise buildings
publishDate	2013
url	http://scholarbank.nus.edu.sg/handle/10635/45575
_version_	1720438691647717376

Artificial neural network approach for grading of maintainability in wet areas of high-rise buildings

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