Machine Learning and hybrid models for assessing climate change impacts on runoff in the Kasilian catchment, Northern Iran
This study evaluates the performance of Artificial Neural Networks (ANNs), Gene Expression Programming (GEP), and the HEC-HMS models in assessing the impacts of climate change on runoff in the Kasilian catchment, northern Iran. Daily data from 2007 to 2021 were divided into calibration (2007–2018) a...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Razi University
2024-12-01
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| Series: | Journal of Applied Research in Water and Wastewater |
| Subjects: | |
| Online Access: | https://arww.razi.ac.ir/article_3313_ad6b9c8535fe71a8a2eaf77caeea7ea4.pdf |
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