Data arrangements to train an artificial neural network within solving the tasks for calculating the Chézy roughness coefficient under uncertainty of parameters determining the hydraulic resistance to flow in river channels

• Datum: 2022
• Hauptverfasser: Khodnevych, Yaroslav V., Stefanyshyn, Dmytro V.
• Format: Artikel
• Sprache: English
• Veröffentlicht: Kyiv National University of Construction and Architecture 2022
• Schlagworte: artificial neural networks; Chézy’s roughness coefficient; data arrangements; hydraulic resistance in river channels; parametric uncertainty
• Online Zugang: https://es-journal.in.ua/article/view/260694
• Назва журналу: Environmental safety and natural resources

Hydraulic calculations and mathematical modelling of open flows in river channels keep still being among the most topical hydro-engineering today’s problems in terms of practice. While solving them, independently on the research topic and purpose, and methods used, a number of simplifications and as...