Do we need a more sophisticated multilayer artificial neural network to compute roughness coefficient?

• Datum: 2023
• Hauptverfasser: Khodnevych, Yaroslav V., Stefanyshyn, Dmytro V.
• Format: Artikel
• Sprache: English
• Veröffentlicht: Kyiv National University of Construction and Architecture 2023
• Schlagworte: activation functions; artificial neural networks; Chézy’s roughness coefficient; comparison; dropout algorithm; hidden layers; modifications; neurons
• Online Zugang: https://es-journal.in.ua/article/view/297285
• Назва журналу: Environmental safety and natural resources

Artificial neural networks (ANNs) are one of the most rapidly growing fields of soft computing. Along with deep learning, they are currently the most widely used machine learning techniques. Artificial neural networks are especially suitable for problem-solving where a researcher deals with incomple...