Please use this identifier to cite or link to this item: https://doi.org/10.1080/01446190310001631019
Title: A neural network approach to assessing building façade maintability in thr tropics
Authors: Chew, M.Y.L. 
De Silva, N. 
Tan, S.S.
Keywords: Building defect
Façade
Maintainability
Neural network
Risk
Sensitivity analysis
Issue Date: 2004
Source: Chew, M.Y.L.,De Silva, N.,Tan, S.S. (2004). A neural network approach to assessing building façade maintability in thr tropics. Construction Management and Economics 22 (6) : 581-594. ScholarBank@NUS Repository. https://doi.org/10.1080/01446190310001631019
Abstract: A model was developed to assess the maintainability of façade using neural network techniques. Inputs were derived from comprehensive studies of 570 tall buildings (more than 12 stories) through detailed field evaluation and interviews with professionals in the whole building delivery process. Sensitivity analysis showed that the most significant factors associated with façade maintainability include the system selection, detailing, accessibility and material performance. © 2004 Talor and Francis Ltd.
Source Title: Construction Management and Economics
URI: http://scholarbank.nus.edu.sg/handle/10635/45551
ISSN: 01446193
DOI: 10.1080/01446190310001631019
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