| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A maximum entropy method using fractional moments and deep learning for geotechnical reliability analysis
|
Wang, Ze Zhou
|
|
|
17 |
4 |
p. 1147-1166
|
artikel
|
| 2 |
An extended TODIM-based model for evaluating risks of excavation system
|
Lin, Song-Shun
|
|
|
17 |
4 |
p. 1053-1069
|
artikel
|
| 3 |
A soft computing approach to tunnel face stability in a probabilistic framework
|
Soranzo, Enrico
|
|
|
17 |
4 |
p. 1219-1238
|
artikel
|
| 4 |
Assessment of rockburst risk using multivariate adaptive regression splines and deep forest model
|
Guo, Deping
|
|
|
17 |
4 |
p. 1183-1205
|
artikel
|
| 5 |
Characterization of particle orientation of kaolinite samples using the deep learning-based technique
|
Chow, Jun Kang
|
|
|
17 |
4 |
p. 1097-1110
|
artikel
|
| 6 |
Comparative performance of eight ensemble learning approaches for the development of models of slope stability prediction
|
Lin, Shan
|
|
|
17 |
4 |
p. 1477-1502
|
artikel
|
| 7 |
Deep learning for efficient stochastic analysis with spatial variability
|
He, Xuzhen
|
|
|
17 |
4 |
p. 1031-1051
|
artikel
|
| 8 |
Determination of shape parameters of sands: a deep learning approach
|
Kim, Yejin
|
|
|
17 |
4 |
p. 1521-1531
|
artikel
|
| 9 |
Displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks
|
Zhang, Wengang
|
|
|
17 |
4 |
p. 1367-1382
|
artikel
|
| 10 |
Editorial for machine learning in geotechnics
|
Zhang, Wengang
|
|
|
17 |
4 |
p. 1017
|
artikel
|
| 11 |
Efficient and flexible Bayesian updating of embankment settlement on soft soils based on different monitoring datasets
|
Tian, Hua-Ming
|
|
|
17 |
4 |
p. 1273-1294
|
artikel
|
| 12 |
Exploring efficiency of biochar in enhancing water retention in soils with varying grain size distributions using ANN technique
|
Garg, Ankit
|
|
|
17 |
4 |
p. 1315-1326
|
artikel
|
| 13 |
Hybrid machine learning model with random field and limited CPT data to quantify horizontal scale of fluctuation of soil spatial variability
|
Zhang, Jin-Zhang
|
|
|
17 |
4 |
p. 1129-1145
|
artikel
|
| 14 |
Intelligent assistant driving method for tunnel boring machine based on big data
|
Guo, Dong
|
|
|
17 |
4 |
p. 1019-1030
|
artikel
|
| 15 |
Machine learning-assisted distinct element model calibration: ANFIS, SVM, GPR, and MARS approaches
|
Fathipour-Azar, Hadi
|
|
|
17 |
4 |
p. 1207-1217
|
artikel
|
| 16 |
Modelling the mechanical behaviour of soils using machine learning algorithms with explicit formulations
|
Zhang, Pin
|
|
|
17 |
4 |
p. 1403-1422
|
artikel
|
| 17 |
New interpretable shear strength criterion for rock joints
|
Fathipour-Azar, Hadi
|
|
|
17 |
4 |
p. 1327-1341
|
artikel
|
| 18 |
Novel integrated approaches for predicting the compressibility of clay using cascade forward neural networks optimized by swarm- and evolution-based algorithms
|
He, Ziguang
|
|
|
17 |
4 |
p. 1257-1272
|
artikel
|
| 19 |
Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine
|
Kardani, Navid
|
|
|
17 |
4 |
p. 1239-1255
|
artikel
|
| 20 |
Predicting pipeline corrosion in heterogeneous soils using numerical modelling and artificial neural networks
|
Azoor, Rukshan
|
|
|
17 |
4 |
p. 1463-1476
|
artikel
|
| 21 |
Predicting the chemical and mechanical properties of gypseous soils using different simulation technics
|
Mohammed, Ahmed
|
|
|
17 |
4 |
p. 1111-1127
|
artikel
|
| 22 |
Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm
|
Zhou, Jian
|
|
|
17 |
4 |
p. 1343-1366
|
artikel
|
| 23 |
Prediction of CBR and resilient modulus of crushed waste rocks using machine learning models
|
Hao, Shengpeng
|
|
|
17 |
4 |
p. 1383-1402
|
artikel
|
| 24 |
Probabilistic decoupled approach to estimate seismic rotational displacements of flexible slopes considering depth-dependent soil variability
|
Wang, Mao-Xin
|
|
|
17 |
4 |
p. 1551-1567
|
artikel
|
| 25 |
Real-time prediction of shield moving trajectory during tunnelling
|
Shen, Shui-Long
|
|
|
17 |
4 |
p. 1533-1549
|
artikel
|
| 26 |
Real-time prediction of shield moving trajectory during tunnelling using GRU deep neural network
|
Zhang, Nan
|
|
|
17 |
4 |
p. 1167-1182
|
artikel
|
| 27 |
Spatial random fields-based Bayesian method for calibrating geotechnical parameters with ground surface settlements induced by shield tunneling
|
Wang, Changhong
|
|
|
17 |
4 |
p. 1503-1519
|
artikel
|
| 28 |
Stability evaluation of rock slope based on discrete fracture network and discrete element model: a case study for the right bank of Yigong Zangbu Bridge
|
Li, Yuchao
|
|
|
17 |
4 |
p. 1423-1441
|
artikel
|
| 29 |
Time-dependent reliability analysis of unsaturated slopes under rapid drawdown with intelligent surrogate models
|
Guardiani, Carlotta
|
|
|
17 |
4 |
p. 1071-1096
|
artikel
|
| 30 |
Toward state-of-the-art techniques in predicting and controlling slope stability in open-pit mines based on limit equilibrium analysis, radial basis function neural network, and brainstorm optimization
|
Shang, Li
|
|
|
17 |
4 |
p. 1295-1314
|
artikel
|
| 31 |
Use of machine learning for unraveling hidden correlations between particle size distributions and the mechanical behavior of granular materials
|
González Tejada, Ignacio
|
|
|
17 |
4 |
p. 1443-1461
|
artikel
|
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