A genetic algorithm-based support vector machine to estimate the transverse mixing coefficient in streams
Transverse mixing coefficient (TMC) is known as one of the most effective parameters in the two-dimensional simulation of water pollution, and increasing the accuracy of estimating this coefficient will improve the modeling process. In the present study, genetic algorithm (GA)-based support vector m...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
IWA Publishing
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/3904f90570f0412e82e1a8a05c8fa5f5 |
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