Using Univariate Models for Construction Output Forecasting: Comparing Artificial Intelligence and Econometric Techniques-Reference-Cited by-同舟云学术

Using Univariate Models for Construction Output Forecasting: Comparing Artificial Intelligence and Econometric Techniques

Published:2016-11 Issue:6 Volume:32 Page:04016021
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Lam Ka Chi¹,Oshodi Olalekan Shamsideen²

Affiliation:

1. Associate Professor, Dept. of Architecture and Civil Engineering, City Univ. of Hong Kong, Tat Chee Ave., Kowloon, Hong Kong SAR, People’s Republic of China (corresponding author).

2. Ph.D. Candidate, Dept. of Architecture and Civil Engineering, City Univ. of Hong Kong, Tat Chee Ave., Kowloon, Hong Kong SAR, People’s Republic of China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ME.1943-5479.0000462

Reference65 articles.

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5. Bell B. Wallace B. and Zhang D. (2012). “Forecasting river runoff through support vector machines.” Proc. 11th IEEE Int. Conf. on Cognitive Informatics and Cognitive Computing IEEE New York 58–64.

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