Prediction of Remaining Service Life of Bridge Decks Using Machine Learning-Reference-Cited by-同舟云学术

Prediction of Remaining Service Life of Bridge Decks Using Machine Learning

Published:2003-01 Issue:1 Volume:17 Page:1-9
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Melhem Hani G.¹,Cheng Yousheng²

Affiliation:

1. Associate Professor, Dept. of Civil Engineering, Fiedler Hall, Kansas State Univ., Manhattan, KS 66506.

2. PhD student, Dept. of Civil Engineering, Kansas State Univ., Manhattan, KS 66506.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290887-3801%282003%2917%3A1%281%29

Reference29 articles.

1. A methodology of design knowledge acquisition for use in learning expert systems

2. Arciszewski T. and Rossman L. A eds. (1992). Knowledge acquisition in civil engineering ASCE New York.

3. Cardie C. and Howe N. (1997). “Improving minority class prediction using case-specific feature weights.” Proc. 14th Int. Conf. on Machine Learning 57–65.

4. Chaker V. ed. (1986). Corrosion effect of stray currents and the techniques for evaluating corrosion of rebars in concrete STP-906 ASTM Philadelphia.

5. Deng K. and Moore A. W. (1995). “Multiresolution instance-based learning.” Proc. IJCAI’95.

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