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Prediction of hydraulic resistance coefficient using an ensemble neural network algorithm

This study presents the development and testing of a computational algorithm based on ensemble learning of artificial neural networks for predicting the empirical hydraulic resistance coefficient known as the Chézy roughness coefficient in open channels. The input data for the model include hydrolog...

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Datum:	2025
Hauptverfasser:	Khodnevych, Yaroslav, Korbutiak, Vasyl
Format:	Artikel
Sprache:	Ukrainisch
Veröffentlicht:	Kyiv National University of Construction and Architecture 2025
Schlagworte:	ensemble learning artificial neural networks bagging method prediction the Chézy roughness coefficient Python
Online Zugang:	https://es-journal.in.ua/article/view/351693
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Environmental safety and natural resources

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Environmental safety and natural resources

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