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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Bibliographic Details
Main Authors: Renata Graf, Tomasz Kolerski, Senlin Zhu
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Resources
Subjects:
Online Access:https://www.mdpi.com/2079-9276/11/2/12