Artificial Bee Colony Algorithm Optimized Support Vector Regression for System Reliability Analysis of Slopes-Reference-Cited by-同舟云学术

Artificial Bee Colony Algorithm Optimized Support Vector Regression for System Reliability Analysis of Slopes

Published:2016-05 Issue:3 Volume:30 Page:04015040
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Kang Fei¹,Li Junjie²

Affiliation:

1. Associate Professor, School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian Univ. of Technology, No. 2 Linggong Rd., Dalian 116024, China (corresponding author).

2. Professor, School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian Univ. of Technology, No. 2 Linggong Rd., Dalian 116024, China.

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.1943-5487.0000514

Reference67 articles.

1. Adaptive explicit decision functions for probabilistic design and optimization using support vector machines

2. LIBSVM

3. Forecasting systems reliability based on support vector regression with genetic algorithms

4. Practical selection of SVM parameters and noise estimation for SVM regression

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