Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques-Reference-Cited by-同舟云学术

Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques

Published:2011-05 Issue:3 Volume:25 Page:242-253
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Chou Jui-Sheng¹²³⁴,Chiu Chien-Kuo¹²³⁴,Farfoura Mahmoud¹²³⁴,Al-Taharwa Ismail¹²³⁴

Affiliation:

1. Associate Professor of Project Management, Dept. of Construction Engineering, National Taiwan Univ. of Science and Technology, 43, Sec. 4, Keelung Rd., Taipei 106, Taiwan (corresponding author).

2. Assistant Professor of Structural Engineering, Dept. of Construction Engineering, National Taiwan Univ. of Science and Technology, 43, Sec. 4, Keelung Rd., Taipei 106, Taiwan.

3. Ph.D. Candidate, Dept. of Computer Science and Information Engineering, National Taiwan Univ. of Science and Technology, 43, Sec. 4, Keelung Rd., Taipei 106, Taiwan.

4. Doctoral Student, Dept. of Computer Science and Information Engineering, National Taiwan Univ. of Science and Technology, 43, Sec. 4, Keelung Rd., Taipei 106, Taiwan.

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.1943-5487.0000088

Reference46 articles.

1. Bagging predictors

2. Chang C. Z. (1997). Research on the mix proportion of high flowing eugenic concrete Chung Hua Univ. Hsin Chu Taiwan.

3. Chang C.-C. and Lin C.-J. (2001). LIBSVM : A library for support vector machines [Computer software]. 〈http://www.csie.ntu.edu.tw/~cjlin/libsvm〉

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