Predicting friction capacity of driven piles using new combinations of neural networks and metaheuristic optimization algorithms
Friction capacity is a principal characteristic in designing driven piles. Considering the complexities in analyzing the behavior of piles, many studies have recommended the use of machine learning for this purpose. However, the used methodologies need to be updated and improved with respect to rece...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
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Series: | Case Studies in Construction Materials |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509523006447 |