Use of Support Vector Regression to Improve Computational Efficiency of Stochastic Time-Cost Trade-Off-Reference-Cited by-同舟云学术

Use of Support Vector Regression to Improve Computational Efficiency of Stochastic Time-Cost Trade-Off

Published:2014-01 Issue:1 Volume:140 Page:04013036
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Yang I-Tung¹,Lin Yu-Cheng²,Lee Hsin-Yun³

Affiliation:

1. Professor, Dept. of Construction Engineering, National Taiwan Univ. of Science and Technology, No. 43 Section 4 Keelung Rd., Taipei 106, Taiwan (corresponding author).

2. Associate Professor, Dept. of Civil Engineering, National Taipei Univ. of Technology, No. 1, Section 3, Chung-Hsiao East Rd., Taipei 106, Taiwan.

3. Associate Professor, Dept. of Civil Engineering, National Ilan Univ., No. 1, Section 1, Shen-Lung Rd., I-Lan 260, Taiwan.

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.1943-7862.0000784

Reference48 articles.

1. Visual Interactive Fitting of Beta Distributions

2. Statistical Properties of Construction Duration Data

3. Ant colony optimization algorithm for stochastic project crashing problem in PERT networks using MC simulation

4. Fuzzy Enabled Hybrid Genetic Algorithm–Particle Swarm Optimization Approach to Solve TCRO Problems in Construction Project Planning

5. Defining Triangular Probability Distributions from Historical Cost Data

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