Neural Structures to Predict River Stages in Heavily Urbanized Catchments
Accurate flow forecasting may support responsible institutions in managing river systems and limiting damages due to high water levels. Machine-learning models are known to describe many nonlinear hydrological phenomena, but up to now, they have mainly provided a single future value with a fixed inf...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
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Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/14/15/2330 |