How Well Can Machine Learning Models Perform without Hydrologists? Application of Rational Feature Selection to Improve Hydrological Forecasting

With more machine learning methods being involved in social and environmental research activities, we are addressing the role of available information for model training in model performance. We tested the abilities of several machine learning models for short-term hydrological forecasting by inferr...

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Bibliographic Details
Main Authors: Vsevolod Moreido, Boris Gartsman, Dimitri P. Solomatine, Zoya Suchilina
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/13/12/1696