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- Title
Generating Stochastic Structural Planes by Considering Parameter Correlations Using Deep Generative Adversarial Networks.
- Authors
Meng, Han; Mei, Gang; Qi, Xiaoyu; Xu, Nengxiong; Peng, Jianbing
- Abstract
Highlights: Stochastic structural planes are generated by considering parameter correlations. The probability distributions of the inclination and the dip angle of stochastic structural planes can be learned using deep neural networks. The correction between the inclination and the dip angle can be automatically captured via deep learning. The generated stochastic structural planes are consistent with the measured factual structural planes.
- Subjects
GENERATIVE adversarial networks; ARTIFICIAL neural networks; DEEP learning; DISTRIBUTION (Probability theory)
- Publication
Rock Mechanics & Rock Engineering, 2023, Vol 56, Issue 12, p9215
- ISSN
0723-2632
- Publication type
Article
- DOI
10.1007/s00603-023-03553-3