Artificial Intelligence and Parametric Construction Cost Estimate Modeling: State-of-the-Art Review-Reference-Cited by-同舟云学术

Artificial Intelligence and Parametric Construction Cost Estimate Modeling: State-of-the-Art Review

Published:2020-01 Issue:1 Volume:146 Page:03119008
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Elmousalami Haytham H.¹

Affiliation:

1. Project Engineer and Project Management Professional (PMP), General Petroleum Company, St. 8, Ash Sharekat, Nasr City, Cairo Governorate, Egypt; Fellow, Dept. of Energy Engineering, Technical Univ. Berlin, Campus El Gouna, Governorate 84513, Egypt.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0001678

Reference232 articles.

1. Case-based reasoning: Foundational issues, methodological variations, and system approaches;Aamodt A.;AI Commun.,1994

2. Regularization Neural Network for Construction Cost Estimation

3. Ahiaga-Dagbui D. D. O. Tokede S. D. Smith and S. Wamuziri.2013. “A neuro-fuzzy hybrid model for predicting final cost of water infrastructure projects.” In Proc. 29th Annual ARCOM Conf. 2–4. Reading UK: Association of Researchers in Construction Management.

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