Editorial for machine learning in geotechnics.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1017, doi. 10.1007/s11440-022-01563-z
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- Article
Works matching IS 18611125 AND DT 2022 AND VI 17 AND IP 4
Results: 31
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Displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1367, doi. 10.1007/s11440-022-01495-8
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- Article
3
Prediction of CBR and resilient modulus of crushed waste rocks using machine learning models.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1383, doi. 10.1007/s11440-022-01472-1
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- Article
4
Determination of shape parameters of sands: a deep learning approach.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1521, doi. 10.1007/s11440-022-01464-1
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- Article
5
Probabilistic decoupled approach to estimate seismic rotational displacements of flexible slopes considering depth-dependent soil variability.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1551, doi. 10.1007/s11440-022-01462-3
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- Article
6
Real-time prediction of shield moving trajectory during tunnelling.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1533, doi. 10.1007/s11440-022-01461-4
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- Article
7
Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1343, doi. 10.1007/s11440-022-01450-7
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- Article
8
New interpretable shear strength criterion for rock joints.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1327, doi. 10.1007/s11440-021-01442-z
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- Article
9
Comparative performance of eight ensemble learning approaches for the development of models of slope stability prediction.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1477, doi. 10.1007/s11440-021-01440-1
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- Article
10
Use of machine learning for unraveling hidden correlations between particle size distributions and the mechanical behavior of granular materials.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1443, doi. 10.1007/s11440-021-01420-5
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- Article
11
Exploring efficiency of biochar in enhancing water retention in soils with varying grain size distributions using ANN technique.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1315, doi. 10.1007/s11440-021-01411-6
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12
Spatial random fields-based Bayesian method for calibrating geotechnical parameters with ground surface settlements induced by shield tunneling.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1503, doi. 10.1007/s11440-021-01407-2
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- Article
13
Predicting pipeline corrosion in heterogeneous soils using numerical modelling and artificial neural networks.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1463, doi. 10.1007/s11440-021-01385-5
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- Article
14
Efficient and flexible Bayesian updating of embankment settlement on soft soils based on different monitoring datasets.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1273, doi. 10.1007/s11440-021-01378-4
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- Article
15
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.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1295, doi. 10.1007/s11440-021-01373-9
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- Article
16
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.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1423, doi. 10.1007/s11440-021-01369-5
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17
Time-dependent reliability analysis of unsaturated slopes under rapid drawdown with intelligent surrogate models.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1071, doi. 10.1007/s11440-021-01364-w
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18
Hybrid machine learning model with random field and limited CPT data to quantify horizontal scale of fluctuation of soil spatial variability.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1129, doi. 10.1007/s11440-021-01360-0
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- Article
19
Novel integrated approaches for predicting the compressibility of clay using cascade forward neural networks optimized by swarm- and evolution-based algorithms.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1257, doi. 10.1007/s11440-021-01358-8
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20
Deep learning for efficient stochastic analysis with spatial variability.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1031, doi. 10.1007/s11440-021-01335-1
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21
Intelligent assistant driving method for tunnel boring machine based on big data.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1019, doi. 10.1007/s11440-021-01327-1
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22
A maximum entropy method using fractional moments and deep learning for geotechnical reliability analysis.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1147, doi. 10.1007/s11440-021-01326-2
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- Article
23
Real-time prediction of shield moving trajectory during tunnelling using GRU deep neural network.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1167, doi. 10.1007/s11440-021-01319-1
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24
Predicting the chemical and mechanical properties of gypseous soils using different simulation technics.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1111, doi. 10.1007/s11440-021-01304-8
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25
Machine learning-assisted distinct element model calibration: ANFIS, SVM, GPR, and MARS approaches.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1207, doi. 10.1007/s11440-021-01303-9
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26
Assessment of rockburst risk using multivariate adaptive regression splines and deep forest model.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1183, doi. 10.1007/s11440-021-01299-2
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27
An extended TODIM-based model for evaluating risks of excavation system.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1053, doi. 10.1007/s11440-021-01294-7
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28
Characterization of particle orientation of kaolinite samples using the deep learning-based technique.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1097, doi. 10.1007/s11440-021-01266-x
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29
Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1239, doi. 10.1007/s11440-021-01257-y
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30
A soft computing approach to tunnel face stability in a probabilistic framework.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1219, doi. 10.1007/s11440-021-01240-7
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31
Modelling the mechanical behaviour of soils using machine learning algorithms with explicit formulations.
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- Acta Geotechnica, 2022, v. 17, n. 4, p. 1403, doi. 10.1007/s11440-021-01170-4
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- Article