Evaluation of the least square support vector machines (LS-SVM) to predict longitudinal dispersion coefficient
In this study, the least square support vector machines (LS-SVM) method was used to predict the longitudinal dispersion coefficient (DL) in natural streams in comparison with the empirical equations in various datasets. To do this, three datasets of field data including hydraulic and geometrical cha...
Main Authors: | Mehdi Mohammadi Ghaleni, Mahmood Akbari, Saeed Sharafi, Mohammad Javad Nahvinia |
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Format: | Article |
Language: | English |
Published: |
IWA Publishing
2022-05-01
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Series: | Water Supply |
Subjects: | |
Online Access: | http://ws.iwaponline.com/content/22/5/5448 |
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