Developing a novel big dataset and a deep neural network to predict the bearing capacity of a ring footing-Reference-Cited by-同舟云学术

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Developing a novel big dataset and a deep neural network to predict the bearing capacity of a ring footing

Published:2024-05 Issue: Volume: Page:
ISSN:1674-7755
Container-title:Journal of Rock Mechanics and Geotechnical Engineering
language:en
Short-container-title:Journal of Rock Mechanics and Geotechnical Engineering

Author:

Vali Ramin,Alinezhad Esmaeil,Fallahi Mohammad,Beygi Majid,Saberian Mohammad,Li Jie^ORCID

Publisher

Elsevier BV

Reference52 articles.

1. Finite element investigation and ANN-based prediction of the bearing capacity of strip footings resting on sloping ground;Acharyya;Int. J. Geo-Eng.,2019

2. Assessment of bearing capacity for strip footing located near sloping surface considering ANN model;Acharyya;Neural Comput. Appl.,2018

3. Modeling and sensitivity analysis of bearing capacity in driven piles using hybrid ANN–PSO algorithm;Arjomand;Arab. J. Geosci.,2022

4. A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength;Armaghani;Neural Comput. Appl.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Intelligence for Bearing Capacity Evaluation of Shallow Foundation: an Overview;Geotechnical and Geological Engineering;2024-07-10

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