A data-driven fuzzy model for prediction of rockburst-Reference-Cited by-同舟云学术

A data-driven fuzzy model for prediction of rockburst

Published:2020-04-11 Issue:2 Volume:15 Page:152-164
ISSN:1749-9518
Container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
language:en
Short-container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards

Author:

Rastegarmanesh Ashkan¹^ORCID,Moosavi Mahdi²,Kalhor Ahmad³

Affiliation:

1. Centre for Future Materials, University of Southern Queensland, Toowoomba, Australia

2. School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran

3. School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran

Publisher

Informa UK Limited

Subject

Geology,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/17499518.2020.1751208

Reference71 articles.

1. Knowledge-based and data-driven fuzzy modeling for rockburst prediction

2. Engineering classification of rock masses for the design of tunnel support

3. Prediction and prevention of rockburst in metal mines – A case study of Sanshandao gold mine

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