A comprehensive review of intelligent machine learning based predicting methods in long-term and short-term rock burst prediction-Reference-Cited by-同舟云学术

A comprehensive review of intelligent machine learning based predicting methods in long-term and short-term rock burst prediction

Published:2023-12 Issue: Volume:142 Page:105434
ISSN:0886-7798
Container-title:Tunnelling and Underground Space Technology
language:en
Short-container-title:Tunnelling and Underground Space Technology

Author:

Man Singh Basnet Prabhat,Mahtab Shakil,Jin Aibing

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction

Reference130 articles.

1. Adoko, A.C., Zvarivadza, T., 2018. A Bayesian Approach for Predicting Rockburst. Paper presented at the 52nd U.S. Rock Mechanics/Geomechanics Symposium.

2. Knowledge-based and data-driven fuzzy modeling for rockburst prediction;Adoko;Int. J. Rock Mech. Min. Sci.,2013

3. Maximum likelihood estimate of b in the formula log N= a-bM and its confidence limits;Aki;Bull. Earthq. Res. Inst., Tokyo Univ.,1965

4. Seismic displacements near a fault;Aki;J. Geophys. Res.,1968

5. Correlation of specific energy with rock brittleness concepts on rock cutting;Altindag;J. S. Afr. Inst. Min. Metall.,2003

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