Prediction of hydraulic resistance coefficient using an ensemble neural network algorithm

• 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
• Назва журналу: Environmental safety and natural resources

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...