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Comparison of artificial neural network and deep learning models in rainfall-runoff modeling of Kashafrood river and predicting climate change impact on meteorological parameters and river flow
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Mohammad Hossein Shahani   , Vahid Rezaverdinejad , Seyed Abbad Hosseini |
| Urmia University , v.verdinejad@urmia.ac.ir |
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Abstract: (915 Views) |
| The main objective of this research is to compare the performance of artificial neural network (ANN) and deep neural network (DNN) models in rainfall-runoff modeling of Kashafrood and to predict the effects of climate change on meteorological parameters and river discharge. |
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| Keywords: Artificial Neural Network, Climate change, Deep learning, Kashafrood, Rainfall-Runoff |
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Full-Text [PDF 4544 kb]
(117 Downloads)
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Type of Study: Research |
Subject:
هیدرولوژی و برنامه ریزی منابع آب
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