Deep learning for efficient stochastic analysis with spatial variability

Efficient reliability analysis considering uncertainty in random field parameters: Trained neural networks as surrogate models

(2021) Xuzhen He et al.   COMPUTERS AND GEOTECHNICS

Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning

(2020) Chun‐Teh Chen et al.   Advanced Science

Machine learning aided stochastic reliability analysis of spatially variable slopes

(2020) Xuzhen He et al.   COMPUTERS AND GEOTECHNICS

Run-out of cut-slope landslides: mesh-free simulations

(2018) X. He et al.   GEOTECHNIQUE

Advanced reliability analysis of slopes in spatially variable soils using multivariate adaptive regression splines

(2018) Lei-Lei Liu et al.   Geoscience Frontiers

Recurrent neural networks for real-time prediction of TBM operating parameters

(2018) Xianjie Gao et al.   AUTOMATION IN CONSTRUCTION

Slope reliability analysis using surrogate models via new support vector machines with swarm intelligence

(2016) Fei Kang et al.   APPLIED MATHEMATICAL MODELLING

Efficient slope reliability analysis at low-probability levels in spatially variable soils

(2016) Shui-Hua Jiang et al.   COMPUTERS AND GEOTECHNICS

On the efficient estimation of small failure probability in slopes

(2016) Jinsong Huang et al.   Landslides

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE