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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Bibliographic Details
Date:2025
Main Authors: Khodnevych, Yaroslav, Korbutiak, Vasyl
Format: Article
Language:Ukrainian
Published: Kyiv National University of Construction and Architecture 2025
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Online Access:https://es-journal.in.ua/article/view/351693
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Journal Title:Environmental safety and natural resources

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Environmental safety and natural resources