Residential construction demand forecasting using economic indicators: A comparative study of artificial neural networks and multiple regression

Construction Management and Economics

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Main Author: Hua, G.B.
Other Authors: SCHOOL OF BUILDING & REAL ESTATE
Format: Article
Published: 2013
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Online Access:http://scholarbank.nus.edu.sg/handle/10635/46479
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-464792015-01-18T15:03:33Z Residential construction demand forecasting using economic indicators: A comparative study of artificial neural networks and multiple regression Hua, G.B. SCHOOL OF BUILDING & REAL ESTATE Artificial neural networks Demand Economic indicators Forecasting Multiple regression Construction Management and Economics 14 1 25-34 CMECF 2013-10-16T02:02:52Z 2013-10-16T02:02:52Z 1996 Article Hua, G.B. (1996). Residential construction demand forecasting using economic indicators: A comparative study of artificial neural networks and multiple regression. Construction Management and Economics 14 (1) : 25-34. ScholarBank@NUS Repository. 01446193 http://scholarbank.nus.edu.sg/handle/10635/46479 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic Artificial neural networks
Demand
Economic indicators
Forecasting
Multiple regression
spellingShingle Artificial neural networks
Demand
Economic indicators
Forecasting
Multiple regression
Hua, G.B.
Residential construction demand forecasting using economic indicators: A comparative study of artificial neural networks and multiple regression
description Construction Management and Economics
author2 SCHOOL OF BUILDING & REAL ESTATE
author_facet SCHOOL OF BUILDING & REAL ESTATE
Hua, G.B.
format Article
author Hua, G.B.
author_sort Hua, G.B.
title Residential construction demand forecasting using economic indicators: A comparative study of artificial neural networks and multiple regression
title_short Residential construction demand forecasting using economic indicators: A comparative study of artificial neural networks and multiple regression
title_full Residential construction demand forecasting using economic indicators: A comparative study of artificial neural networks and multiple regression
title_fullStr Residential construction demand forecasting using economic indicators: A comparative study of artificial neural networks and multiple regression
title_full_unstemmed Residential construction demand forecasting using economic indicators: A comparative study of artificial neural networks and multiple regression
title_sort residential construction demand forecasting using economic indicators: a comparative study of artificial neural networks and multiple regression
publishDate 2013
url http://scholarbank.nus.edu.sg/handle/10635/46479
_version_ 1681083238325420032