has been cited by the following article(s):
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Reliability Analysis of Surface Settlement caused by Mechanized Tunneling-a Case Study
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Journal of Mining and Environment,
2022 |
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[2]
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基于综合决策云模型的围岩稳定性分级方法研究
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黄金科学技术,
2020 |
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[3]
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MARS Use in Evaluating Entry-Type Excavation Stability
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2020 |
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[4]
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MARS Use for Determination of EPB Tunnel-Related Maximum Surface Settlement
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2020 |
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[5]
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Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling
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2020 |
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[6]
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Nonlinear deformation prediction of tunnel surrounding rock with computational intelligence approaches
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2020 |
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[7]
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Research on Markov Method Based on Multi-Parameter Variable Fusion
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2020 |
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[8]
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Research on deformation prediction of tunnel surrounding rock using the model combining firefly algorithm and nonlinear auto-regressive dynamic neural network
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2019 |
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[9]
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A WD-GA-LSSVM model for rainfall-triggered landslide displacement prediction
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Journal of Mountain Science,
2018 |
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[10]
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RES-Based Model in Evaluation of Surface Settlement Caused by EPB Shield Tunneling
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Indian Geotechnical Journal,
2018 |
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[11]
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A hybrid machine learning and computing model for forecasting displacement of multifactor-induced landslides
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Neural Computing and Applications,
2017 |
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[12]
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Predicting Safety Risks in Deep Foundation Pits in Subway Infrastructure Projects: Support Vector Machine Approach
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2017 |
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[13]
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Gaussian process model of water inflow prediction in tunnel construction and its engineering applications
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Tunnelling and Underground Space Technology,
2017 |
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[14]
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Gaussian Process Model of an Advanced Surrounding Rock Classification Based on Tunnel Seismic Predictions
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2016 |
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[15]
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Determination of earth pressure balance tunnel-related maximum surface settlement: a multivariate adaptive regression splines approach
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Bulletin of Engineering Geology and the Environment,
2016 |
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[16]
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围岩稳定性评价的改进物元可拓模型与应用
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安全与环境学报,
2015 |
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[17]
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Calculation of surface settlements caused by EPBM tunneling using artificial neural network, SVM, and Gaussian processes
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Environmental Earth Sciences,
2013 |
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[1]
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Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling
Underground Space,
2021
DOI:10.1016/j.undsp.2019.12.003
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[2]
|
Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling
Underground Space,
2021
DOI:10.1016/j.undsp.2019.12.003
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|
[3]
|
Research on Markov Method Based on Multi-Parameter Variable Fusion
2020 3rd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM),
2020
DOI:10.1109/WCMEIM52463.2020.00048
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[4]
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Research on deformation prediction of tunnel surrounding rock using the model combining firefly algorithm and nonlinear auto-regressive dynamic neural network
Engineering with Computers,
2019
DOI:10.1007/s00366-019-00894-y
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[5]
|
A WD-GA-LSSVM model for rainfall-triggered landslide displacement prediction
Journal of Mountain Science,
2018
DOI:10.1007/s11629-016-4245-3
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[6]
|
A hybrid machine learning and computing model for forecasting displacement of multifactor-induced landslides
Neural Computing and Applications,
2017
DOI:10.1007/s00521-017-2968-x
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