Risk Score Inference for Bridge Maintenance Project Using Evolutionary Fuzzy Least Squares Support Vector Machine-Reference-Cited by-同舟云学术

Risk Score Inference for Bridge Maintenance Project Using Evolutionary Fuzzy Least Squares Support Vector Machine

Published:2014-05 Issue:3 Volume:28 Page:04014003
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Cheng Min-Yuan¹,Hoang Nhat-Duc²

Affiliation:

1. Professor, Dept. of Construction Engineering, National Taiwan Univ. of Science and Technology, Number 43, Section 4, Keelung Rd., Taipei 106, Taiwan, Republic of China.

2. Lecturer, Faculty of Building and Industrial Construction, National Univ. of Civil Engineering, Number 55, Giai Phong Rd., Hanoi, Vietnam; formerly, Ph.D. Student, Dept. of Construction Engineering, National Taiwan Univ. of Science and Technology, Number 43, Section 4, Keelung Rd., Taipei 106, Taiwan, Republic of China (corresponding author).

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.1943-5487.0000275

Reference38 articles.

1. Risk-based approach to the determination of optimal interventions for bridges affected by multiple hazards

2. Evolving hybrid ensembles of learning machines for better generalisation

3. A survey of cross-validation procedures for model selection

4. Cultured differential evolution for constrained optimization

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