Effect of Feature Selection Technique on the Pile Capacity Predicted Using Machine Learning-Reference-Cited by-同舟云学术

Effect of Feature Selection Technique on the Pile Capacity Predicted Using Machine Learning

Published:2024-02-22 Issue: Volume:8 Page:153-163
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Container-title:Geo-Congress 2024
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Author:

Ozturk Baturalp¹²³,Kodsy Antonio¹²³,Iskander Magued¹²³

Affiliation:

1. Research Assistant, Dept. of Civil and Urban Engineering, NYU Tandon School of Engineering, Brooklyn, NY

2. Assistant Professor, Dept. of Civil Engineering, Coventry Univ. at The Knowledge Hub, Egypt

3. Professor and Chair, Dept. of Civil and Urban Engineering, NYU Tandon School of Engineering, Brooklyn, NY.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485323.016

Reference15 articles.

1. Bowles, J. E. (1988). Foundation analysis and design. McGraw-Hill, New York.

2. Davisson M. T. (1972). “High Capacity Piles.” Proceedings of Soil Mechanics Lecture Series on Innovations in Foundation Construction ASCE Illinois Section Chicago 81–112.

3. Dennis N. D. and Olson R. E. (1983). “Axial Capacity of Steel Pipe Piles in Clay.” Proceedings of the Conference on Geotechnical Practice on Offshore Engineering Austin TX USA 27–29 April; ASCE: Reston VA USA; pp. 370–388.

4. Dennis, N. D., and Olson, R. E. (1983). “Axial Capacity of Steel Pipe Piles in Sand.” In Proceedings of the Conference on Geotechnical Practice on Offshore Engineering, Austin, TX, USA, 27–29 April; ASCE: Reston, VA, USA; pp. 389–402.

5. Forecasting of Pile Plugging Using Machine Learning;Kodsy A.;Acta Geotechnica,2023

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