Estimating Project S-Curves Using Polynomial Function and Neural Networks-Reference-Cited by-同舟云学术

Estimating Project S-Curves Using Polynomial Function and Neural Networks

Published:2009-03 Issue:3 Volume:135 Page:169-177
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Chao Li-Chung¹²,Chien Ching-Fa¹²

Affiliation:

1. Associate Professor, Dept. of Construction Engineering, National Kaohsiung First Univ. of Science and Technology, Kaohsiung 824, Taiwan, ROC.

2. Ph.D. Student, Institute of Engineering Science and Technology, National Kaohsiung First Univ. of Science and Technology, Kaohsiung 824, Taiwan, ROC.

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%290733-9364%282009%29135%3A3%28169%29

Reference15 articles.

1. A novel multiple linear regression model for forecasting S‐curves

2. Assessing Earth-Moving Operation Capacity by Neural Network-Based Simulation with Physical Factors

3. Neural Network Method of Estimating Construction Technology Acceptability

4. Chen H.-F. (2003). “A study on the base of construction progress evaluation using banana curves.” MS thesis Dept. of Civil Engineering National Central Univ. Taiwan.

5. Analysis of the accuracy of standard/average value curves using food retail building projects as case studies

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