Improving deep neural network using hyper-parameters tuning in predicting the bearing capacity of shallow foundations
Ultimate bearing capacity is one of the most important parameters in designing shallow foundations. This study focused on developing a hybrid model using Random Search (RS) technique and Deep Neural Network (DNN) to predict the maximum bearing capacity of shallow foundations in sandy soil. The data...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Tamkang University Press
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/b5cb7580777d46e1ab8d2385aea55ed7 |
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