Improving deep neural network using hyper-parameters tuning in predicting the bearing capacity of shallow foundations

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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Bibliographic Details
Main Authors: Tuan Anh Pham, Huong-Lan Thi Vu, Hong-Anh Thi Duong
Format: Article
Language:English
Published: Tamkang University Press 2021-11-01
Series:Journal of Applied Science and Engineering
Subjects:
deep neural network
hyperparameters tuning
shallow foundations
sensitive analysis
Online Access:http://jase.tku.edu.tw/articles/jase-202204-25-2-0012

Internet

http://jase.tku.edu.tw/articles/jase-202204-25-2-0012

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