Deep learning–based stochastic modelling and uncertainty analysis of fault networks

Shuai Han, Heng Li, Mingchao Li, Jiawen Zhang, Runhao Guo, Jie Ma, Wenchao Zhao

Research output: Journal article publication › Journal article › Academic research › peer-review

Original language	English
Pages (from-to)	1-19
Number of pages	19
Journal	Bulletin of Engineering Geology and the Environment
Volume	81
Issue number	6
Publication status	Published - May 2022

Cite this

@article{6ca96344b1244589925f982f7745baab,

title = "Deep learning–based stochastic modelling and uncertainty analysis of fault networks",

author = "Shuai Han and Heng Li and Mingchao Li and Jiawen Zhang and Runhao Guo and Jie Ma and Wenchao Zhao",

year = "2022",

month = may,

language = "English",

volume = "81",

pages = "1--19",

journal = "Bulletin of Engineering Geology and the Environment",

issn = "1435-9537",

publisher = "Springer Verlag",

number = "6",

}

TY - JOUR

T1 - Deep learning–based stochastic modelling and uncertainty analysis of fault networks

AU - Han, Shuai

AU - Li, Heng

AU - Li, Mingchao

AU - Zhang, Jiawen

AU - Guo, Runhao

AU - Ma, Jie

AU - Zhao, Wenchao

PY - 2022/5

Y1 - 2022/5

M3 - Journal article

SN - 1435-9537

VL - 81

SP - 1

EP - 19

JO - Bulletin of Engineering Geology and the Environment

JF - Bulletin of Engineering Geology and the Environment

IS - 6

ER -