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Bearing Capacity of Shallow Foundation’s Prediction through Hybrid Artificial Neural Networks

机译：基于混合人工神经网络的浅基础承载力预测

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Aminaton Marto; Mohsen Hajihassani; Ehsan Momeni;
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1. New approaches to determine the ultimate bearing capacity of shallow foundations based on artificial neural networks and ant colony optimization [J] . Adem Kalinli, M. Cemal Acar, Zeki Gunduz Engineering Geology . 2011,第1a2期

机译：基于人工神经网络和蚁群算法的浅层地基极限承载力确定新方法
2. Developing artificial neural network models to predict allowable bearing capacity and elastic settlement of shallow foundation in Sharjah, United Arab Emirates [J] . Omar Maher, Hamad Khaled, Al Suwaidi Mey, Arabian journal of geosciences . 2018,第16期

机译：开发人工神经网络模型，以预测沙迦，阿拉伯联合酋长国沙迦浅埋地基的允许承载力和弹性沉降
3. Prediction of ultimate bearing capacity of circular foundation on sand layer of limited thickness using artificial neural network [J] . Barada Prasad Sethy, Chittaranjan Patra, Braja M. Das, International journal of geotechnical engineering . 2021,第9a10期

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4. Predicting Bearing Capacity of Shallow Strip Foundations Based on Multi Layered Cohesive Subsoil Using Artificial Neural Network [C] . M. Hassan Abadi, A. Haddad, H. Naderpour Geotechnics for sustainable development . 2011

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5. Reliability-based bearing capacity design of shallow foundations [D] . Zhang, Xianyue 2007

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6. A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns [O] . Quang Hung Nguyen, Hai-Bang Ly, Van Quan Tran, 2020

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7. Application of Artificial Neural Networks for Predicting the Bearing Capacity of Shallow Foundations on Rock Masses [O] . M. A. Millán, R. Galindo, A. Alencar 2021

机译：人工神经网络在岩体浅层基础上预测的应用

Bearing Capacity of Shallow Foundation’s Prediction through Hybrid Artificial Neural Networks

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