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Comparison of machine learning models for flood forecasting in the Mahanadi River Basin, India

Developing accurate flood forecasting models is necessary for flood control, water resources and management in the Mahanadi River Basin. In this study, convolutional neural network (CNN) is integrated with random forest (RF) and support vector regression (SVR) for making a hybrid model (CNN–RF and C...

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Guardat en:
Autors principals: Sanjay Sharma, Sangeeta Kumari
Format: Artigo
Idioma:Inglês
Publicat: IWA Publishing 2024-04-01
Col·lecció:Journal of Water and Climate Change
Matèries:
artificial neural network
convolutional neural network
forecasting
machine learning
random forest
support vector machine
Accés en línia:http://jwcc.iwaponline.com/content/15/4/1629
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