Improved Global Sensitivity Analysis for Critical Factor Analysis with Intercorrelated Inputs: Power Plant Cost Example-Reference-Cited by-同舟云学术

Improved Global Sensitivity Analysis for Critical Factor Analysis with Intercorrelated Inputs: Power Plant Cost Example

Published:2019-07 Issue:4 Volume:33 Page:04019025
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Zhang Jingjie¹,Du Jing²^ORCID,Yiu Ying Fung³,Ligmann-Zielinska Arika⁴

Affiliation:

1. Ph.D. Student, Dept. of Statistics, Texas A&M Univ., College Station, TX 77843.

2. Associate Professor, Dept. of Civil and Coastal Engineering, Herbert Wertheim College of Engineering, Univ. of Florida, Gainesville, FL 32611 (corresponding author). ORCID: .

3. Ph.D. Student, Dept. of Computer Science and Engineering, Texas A&M Univ., College Station, TX 77843.

4. Associate Professor, Dept. of Geography, Environmental Science and Policy Program, Michigan State Univ., East Lansing, MI 48824.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000840

Reference51 articles.

1. Neural Networks in Civil Engineering: 1989–2000

2. Regularization Neural Network for Construction Cost Estimation

3. Alder M. A. 2006. “Comparing time and accuracy of building information modeling to on-screen takeoff for a quantity takeoff of a conceptual estimate.” Ph.D. dissertation School of Technology Brigham Young Univ.

4. Application of Support Vector Machines in Assessing Conceptual Cost Estimates

5. Computerized System for Application of Value Engineering Methodology

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