The Use of Data Mining Techniques in Rockburst Risk Assessment-Reference-Cited by-同舟云学术

The Use of Data Mining Techniques in Rockburst Risk Assessment

Published:2017-08 Issue:4 Volume:3 Page:552-558
ISSN:2095-8099
Container-title:Engineering
language:en
Short-container-title:Engineering

Author:

Ribeiro e Sousa Luis,Miranda Tiago,Leal e Sousa Rita,Tinoco Joaquim

Publisher

Elsevier BV

Subject

General Engineering,Energy Engineering and Power Technology,Materials Science (miscellaneous),General Chemical Engineering,Environmental Engineering,General Computer Science

Reference36 articles.

1. Risk assessment and management in geotechnical engineering;Einstein,2002

2. Risk analysis for tunneling projects [dissertation];Sousa,2010

3. Underground hydroelectric power schemes;Feng,2012

4. Learning with accidents and damage associated to underground works;Sousa,2006

5. Studies on classification, criteria and control of rockbursts;He;J Rock Mech Geotech Eng,2012

Cited by 70 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Determination of the Advanced Mining Influence Range in Coal Mines Based on the Statistical Analysis of Mining-Induced Seismicity;Applied Sciences;2024-09-02

2. Application of supervised machine learning to assess and manage fluid-injection-induced seismicity hazards based on the Montney region of northeastern British Columbia;Computational Geosciences;2024-08-27

3. Fuzzy Cognitive Map for Evaluating Critical Factors Causing Rockbursts in Underground Construction: A Fundamental Study;Rock Mechanics and Rock Engineering;2024-07-04

4. Multi-index fusion database and intelligent evaluation modelling for geostress classification;Tunnelling and Underground Space Technology;2024-07

5. An integrated decision-making framework for rockburst hazard evaluation under uncertain environment: a case study of Linglong gold mine;Environmental Earth Sciences;2024-06-14