Artificial neural network approach for grading of maintainability in wet areas of high-rise buildings
Architectural Science Review
Saved in:
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Neural network approach to grading maintainability of wet areas in high rise buildings
by: TAN SHAN SHAN
Published: (2011) -
Maintainability problems of wet areas in high-rise residential buildings
by: Chew, M.Y.L., et al.
Published: (2013) -
Factors affecting water-tightness in wet areas of high-rise residential buildings
by: Chew, M.Y.L., et al.
Published: (2013) -
Defect analysis in wet areas of buildings
by: Chew, M.Y.L.
Published: (2013) -
Design for maintainability of basements and wet areas
by: Chew, Michael Yit Lin
Published: (2022)