Prediction and Feature Importance of Earth Pressure in Shields Using Machine Learning Algorithms
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[1] Zeng-Wei Hong,et al. Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review , 2022, Mathematics.
[2] Pengfei Yu,et al. Prediction of Shield Machine Attitude Based on Various Artificial Intelligence Technologies , 2021, Applied Sciences.
[3] Guido De Roeck,et al. An efficient stochastic-based coupled model for damage identification in plate structures , 2021, Engineering Failure Analysis.
[4] Kairong Hong,et al. A Data-Driven Method for Predicting the Cutterhead Torque of EPB Shield Machine , 2021, Discrete Dynamics in Nature and Society.
[5] Ziming Xiong,et al. Prediction of the Amount of Soil Discharged by an Earth Pressure Balanced Shield Machine Based on Feature Engineering , 2021, KSCE Journal of Civil Engineering.
[6] Yehui Shi,et al. A Fast Estimation Method of Soil Discharged by an Earth Pressure Balanced Shield Machine , 2021, KSCE Journal of Civil Engineering.
[7] Wang Hao,et al. Automatic laser profile recognition and fast tracking for structured light measurement using deep learning and template matching , 2021 .
[8] H. Tran-Ngoc,et al. A novel machine-learning based on the global search techniques using vectorized data for damage detection in structures , 2020 .
[9] Naif Alajlan,et al. Deep Autoencoder based Energy Method for the Bending, Vibration, and Buckling Analysis of Kirchhoff Plates , 2020, European Journal of Mechanics - A/Solids.
[10] Xiaoying Zhuang,et al. Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media , 2020, Engineering with Computers.
[11] M. Mooney,et al. A simplified excavation chamber pressure model for EPBM tunneling , 2020 .
[12] H. Nguyen-Xuan,et al. A data-driven approach based on long short-term memory and hidden Markov model for crack propagation prediction , 2020 .
[13] H. Tran-Ngoc,et al. Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis , 2020, Theoretical and Applied Fracture Mechanics.
[14] Gerhard Nahler,et al. Pearson Correlation Coefficient , 2020, Definitions.
[15] Timon Rabczuk,et al. An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications , 2019, Computer Methods in Applied Mechanics and Engineering.
[16] Xuanyu Liu,et al. Earth pressure prediction in sealed chamber of shield machine based on parallel least squares support vector machine optimized by cooperative particle swarm optimization , 2019, Measurement and Control.
[17] Xuanyu Liu,et al. Earth pressure balance control of shield tunneling machine based on nonlinear least squares support vector machine model predictive control , 2018, Measurement and Control.
[18] Zheng Zhang,et al. Earth Pressure Multipoint Prediction for EPS Shield Based on Multi-Model Ensemble , 2018, 2018 Chinese Automation Congress (CAC).
[19] Anna Veronika Dorogush,et al. CatBoost: gradient boosting with categorical features support , 2018, ArXiv.
[20] Xiaoli Zhou,et al. Earth pressure prediction in the chamber for earth pressure balanced shield machines , 2018, Int. J. Comput. Appl. Technol..
[21] Tie-Yan Liu,et al. LightGBM: A Highly Efficient Gradient Boosting Decision Tree , 2017, NIPS.
[22] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[23] Huang Wenting,et al. Heuristic sample reduction based support vector regression method , 2016, 2016 IEEE International Conference on Mechatronics and Automation.
[24] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[25] Jian-Hua Wang,et al. Environmental Effect and Control of Large Diameter EPB Shield Tunneling below an Operating Airport , 2015 .
[26] Cheng Shao,et al. Optimal control for a shield machine subject to multi-point earth pressure balance , 2015 .
[27] Yan Zhang,et al. Earth pressure multipoint forecasts and optimal control for EPB shield , 2014, 2014 20th International Conference on Automation and Computing.
[28] Bimal Ray,et al. A Data-driven Method , 2013 .
[29] Giulia Viggiani,et al. Geotechnical Aspects of Underground Construction in Soft Ground , 2012 .
[30] Giovanni Spagnoli,et al. Manipulations of the sticky clays regarding EPB tunnel driving , 2012 .
[31] Guofang Gong,et al. A new calculation model of cutterhead torque and investigation of its influencing factors , 2012 .
[32] Haifeng Ma,et al. Optimal earth pressure balance control for shield tunneling based on LS-SVM and PSO , 2011 .
[33] Martin Herrenknecht,et al. The development of earth pressure shields: from the beginning to the present / Entwicklung der Erddruckschilde: Von den Anfängen bis zur Gegenwart , 2011 .
[34] Li Wu,et al. Discrete element model for analysis of chamber pressure of earth pressure balance shield machine , 2010, 2010 International Conference on Mechanic Automation and Control Engineering.
[35] Hu Shi,et al. Earth pressure balance control for EPB shield , 2009 .
[36] Wei Sun,et al. Controlling Earth Pressure of Shield Machine with Optimization Algorithm , 2009, 2009 International Conference on Environmental Science and Information Application Technology.
[37] J. Fonseca,et al. Control of allergic rhinitis and asthma test – a formal approach to the development of a measuring tool , 2009, Respiratory research.
[38] Daniele Peila,et al. Soil conditioning of sand for EPB applications: A laboratory research , 2008 .
[39] Maria L. Rizzo,et al. Measuring and testing dependence by correlation of distances , 2007, 0803.4101.
[40] L. Breiman. Random Forests , 2001, Encyclopedia of Machine Learning and Data Mining.
[41] I-Cheng Yeh,et al. Application of neural networks to automatic soil pressure balance control for shield tunneling , 1997 .
[42] Min-Yu Gao,et al. Real-Time Dynamic Earth-Pressure Regulation Model for Shield Tunneling by Integrating GRU Deep Learning Method With GA Optimization , 2020, IEEE Access.
[43] Naif Alajlan,et al. Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems , 2019, Computers, Materials & Continua.
[44] 邵诚,et al. Earth pressure prediction based on ANFIS for earth pressure balance shields , 2015 .
[45] L. Breiman. OUT-OF-BAG ESTIMATION , 1996 .