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

• Дата: 2023
• Автори: Ходневич, Я.В., Стефанишин, Д.В.
• Формат: Стаття
• Мова: English
• Опубліковано: Kyiv National University of Construction and Architecture 2023
• Теми: activation functions; artificial neural networks; Chézy’s roughness coefficient; comparison; dropout algorithm; hidden layers; modifications; neurons; функції активації; штучні нейронні мережі; коефіцієнт Шезі; порівняння; dropout алгоритм; приховані шари; модифікації; нейрони
• Онлайн доступ: 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...