Residential construction demand forecasting using economic indicators: A comparative study of artificial neural networks and multiple regression
Construction Management and Economics
Saved in:
Main Author: | Hua, G.B. |
---|---|
Other Authors: | SCHOOL OF BUILDING & REAL ESTATE |
Format: | Article |
Published: |
2013
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/46479 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
An evaluation of the accuracy of the multiple regression approach in forecasting sectoral construction demand in Singapore
by: Bee-Hua, G.
Published: (2013) -
Evaluating the performance of combining neural networks and genetic algorithms to forecast construction demand: The case of the Singapore residential sector
by: Bee-Hua, G.
Published: (2013) -
Estimating willingess to pay for urban water supply: A comparison of artificial neural networks and multiple regression analysis
by: Ranasinghe, M., et al.
Published: (2013) -
FORECASTING OFFICE SPACE DEMAND IN SINGAPORE : USING MULTIPLE REGRESSION ANALYSIS
by: NG HUI CHUAN
Published: (2019) -
Artificial neural network for tsunami forecasting
by: Romano, M., et al.
Published: (2014)