Estimation of instantaneous peak flows in Canadian rivers : an evaluation of conventional, nonlinear regression, and machine learning methods
© 2024 The Author This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY-NC-ND 4.0), which permits copying and redistribution for non-commercial purposes with no derivatives, provided the original work is properly cited (http://creativecommons.o...
| Publié dans: | Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 89(2024), 9 vom: 11. Mai, Seite 2225-2239 |
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| Auteur principal: | |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2024
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| Accès à la collection: | Water science and technology : a journal of the International Association on Water Pollution Research |
| Sujets: | Journal Article design flow magnitudes fusion modeling instantaneous peak flows machine learning missing values multiple regression |
| Accès en ligne |
Volltext |