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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Detaylı Bibliyografya
Asıl Yazarlar:	Sanjay Sharma, Sangeeta Kumari
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	IWA Publishing 2024-04-01
Seri Bilgileri:	Journal of Water and Climate Change
Konular:	artificial neural network convolutional neural network forecasting machine learning random forest support vector machine
Online Erişim:	http://jwcc.iwaponline.com/content/15/4/1629
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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