Predicting Ice Phenomena in a River Using the Artificial Neural Network and Extreme Gradient Boosting

Forecasting ice phenomena in river systems is of great importance because these phenomena are a fundamental part of the hydrological regime. Due to the stochasticity of ice phenomena, their prediction is a difficult process, especially when data sets are sparse or incomplete. In this study, two mach...

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Detalhes bibliográficos

Principais autores:	Renata Graf, Tomasz Kolerski, Senlin Zhu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-01-01
coleção:	Resources
Assuntos:	river freezing Multilayer Perceptron Neural Network (MLPNN) Extreme Gradient Boosting (XGBoost) predictor variables balanced accuracy Poland
Acesso em linha:	https://www.mdpi.com/2079-9276/11/2/12
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