Comparative Study on the Machine Learning and Regression-Based Approaches to Predict the Hydraulic Jump Sequent Depth Ratio
Auteur(s): |
Saman Baharvand
Ali Jozaghi Reza Fatahi-Alkouhi Saeed Karimzadeh Ruhollah Nasiri Babak Lashkar-Ara |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Iranian Journal of Science and Technology, Transactions of Civil Engineering, septembre 2021, n. 4, v. 45 |
Page(s): | 2719-2732 |
DOI: | 10.1007/s40996-020-00526-2 |
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10475071 - Publié(e) le:
15.11.2020 - Modifié(e) le:
18.12.2021