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Chongzhi WU
Chongzhi WU
在 cqu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
W Zhang, C Wu, H Zhong, Y Li, L Wang
Geoscience Frontiers 12 (1), 469-477, 2021
6092021
State-of-the-art review of soft computing applications in underground excavations
W Zhang, R Zhang, C Wu, ATC Goh, S Lacasse, Z Liu, H Liu
Geoscience Frontiers 11 (4), 1095-1106, 2020
3782020
Efficient reliability analysis of earth dam slope stability using extreme gradient boosting method
L Wang, C Wu, L Tang, W Zhang, S Lacasse, H Liu, L Gao
Acta Geotechnica 15, 3135-3150, 2020
2132020
Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling
WG Zhang, HR Li, CZ Wu, YQ Li, ZQ Liu, HL Liu
Underground Space 6 (4), 353-363, 2021
1892021
Probabilistic stability analysis of earth dam slope under transient seepage using multivariate adaptive regression splines
L Wang, C Wu, X Gu, H Liu, G Mei, W Zhang
Bulletin of Engineering Geology and the Environment 79, 2763-2775, 2020
1892020
Assessment of pile drivability using random forest regression and multivariate adaptive regression splines
W Zhang, C Wu, Y Li, L Wang, P Samui
Georisk: Assessment and Management of Risk for Engineered Systems and …, 2021
1822021
Estimation of diaphragm wall deflections for deep braced excavation in anisotropic clays using ensemble learning
R Zhang, C Wu, ATC Goh, T Böhlke, W Zhang
Geoscience Frontiers 12 (1), 365-373, 2021
1152021
Assessment of basal heave stability for braced excavations in anisotropic clay using extreme gradient boosting and random forest regression
W Zhang, R Zhang, C Wu, ATC Goh, L Wang
Underground Space 7 (2), 233-241, 2022
992022
Prediction of lining response for twin tunnels constructed in anisotropic clay using machine learning techniques
W Zhang, Y Li, C Wu, H Li, ATC Goh, H Liu
Underground space 7 (1), 122-133, 2022
832022
Efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithms
W Zhang, C Wu, L Tang, X Gu, L Wang
Gondwana Research 123, 41-53, 2023
632023
Prediction of wall deflection induced by braced excavation in spatially variable soils via convolutional neural network
C Wu, L Hong, L Wang, R Zhang, S Pijush, W Zhang
Gondwana Research 123, 184-197, 2023
492023
Deep learning methods for time-dependent reliability analysis of reservoir slopes in spatially variable soils
L Wang, C Wu, Z Yang, L Wang
Computers and Geotechnics 159, 105413, 2023
442023
Probabilistic risk assessment of unsaturated slope failure considering spatial variability of hydraulic parameters
L Wang, C Wu, Y Li, H Liu, W Zhang, X Chen
KSCE Journal of Civil Engineering 23, 5032-5040, 2019
372019
Characteristics analysis of granular landslide using shaking table model test
Z Chen, P Yang, H Liu, W Zhang, C Wu
Soil Dynamics and Earthquake Engineering 126, 105761, 2019
352019
Soil liquefaction assessment using soft computing approaches based on capacity energy concept
Z Chen, H Li, ATC Goh, C Wu, W Zhang
Geosciences 10 (9), 330, 2020
292020
State-of-the-art review of soft computing applications in underground excavations. Geosci Front 11 (4): 1095–1106
W Zhang, R Zhang, C Wu, ATC Goh, S Lacasse, Z Liu, H Liu
212020
Soft computing
W Zhang, Y Zhang, X Gu, C Wu, L Han, W Zhang, Y Zhang, X Gu, C Wu, ...
Application of Soft Computing, Machine Learning, Deep Learning and …, 2022
202022
State-of-the-art review of soft computing applications in underground excavations. Geosci Front 11: 1095–1106
W Zhang, R Zhang, C Wu, ATC Goh, S Lacasse, Z Liu, H Liu
192020
Dynamic assessment of slope stability based on multi‐source monitoring data and ensemble learning approaches: A case study of Jiuxianping landslide
W Xu, Y Kang, L Chen, L Wang, C Qin, L Zhang, D Liang, C Wu, W Zhang
Geological Journal 58 (6), 2353-2371, 2023
172023
Application of soft computing, machine learning, deep learning and optimizations in geoengineering and geoscience
W Zhang, Y Zhang, X Gu, C Wu, L Han
Springer Nature, 2021
152021
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