Predicting shear capacity of Recycled Aggregate Concrete beams using Artificial Neural Network
This study investigates the application of an Artificial Neural Network (ANNs) utilizing a Multi-Layer Perceptron (MLP) architecture to predict the shear capacity of Recycled Aggregate Concrete (RAC) beams. The ANNs model was trained using the Levenberg-Marquardt algorithm with a comprehensive datas...
Сохранить в:
| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Mouloud Mammeri University of Tizi-Ouzou
2024-12-01
|
| Серии: | Journal of Materials and Engineering Structures |
| Предметы: | |
| Online-ссылка: | https://revue.ummto.dz/index.php/JMES/article/view/3739 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|
