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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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Principais autores: Sanjay Sharma, Sangeeta Kumari
Formato: Artigo
Idioma:Inglês
Publicado em: IWA Publishing 2024-04-01
coleção:Journal of Water and Climate Change
Assuntos:
artificial neural network
convolutional neural network
forecasting
machine learning
random forest
support vector machine
Acesso em linha:http://jwcc.iwaponline.com/content/15/4/1629
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