Evaluating the performance of combining neural networks and genetic algorithms to forecast construction demand: The case of the Singapore residential sector

Evaluating the performance of combining neural networks and genetic algorithms to forecast construction demand: The case of the Singapore residential sector

Construction Management and Economics

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Bibliographic Details
Main Author: Bee-Hua, G.
Other Authors: SCHOOL OF BUILDING & REAL ESTATE
Format: Article
Published: 2013
Subjects:
Accuracy
Construction demand
Forecasting
Genetic algorithms
Neural networks
Online Access:http://scholarbank.nus.edu.sg/handle/10635/46420
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Institution: National University of Singapore

Internet

http://scholarbank.nus.edu.sg/handle/10635/46420

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