Using Machine Learning to Improve Cost and Duration Prediction Accuracy in Green Building Projects-Reference-Cited by-同舟云学术

Using Machine Learning to Improve Cost and Duration Prediction Accuracy in Green Building Projects

Author:

Darko Amos¹^ORCID,Glushakova Iuliia²^ORCID,Boateng Emmanuel B.³^ORCID,Chan Albert P. C.⁴^ORCID

Affiliation:

1. Research Assistant Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong. ORCID: .

2. Research Assistant, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong (corresponding author). ORCID: .

3. Lecturer, School of Health and Society, Univ. of Wollongong, Wollongong, NSW 2522, Australia. ORCID: .

4. Chair Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

Reference106 articles.

2. Agarap A. F. 2018. “Deep learning using rectified linear units (ReLU).” Preprint submitted March 22 2018. https://arxiv.org/abs/1803.08375.

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