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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
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Series: | Resources |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9276/11/2/12 |