Rockburst risk assessment based on soft computing algorithms

A key aspect that affect many deep underground mines over the world is the rockburst phenomenon, which can have a strong impact in terms of costs and lives. Accordingly, it is important their understanding in order to support decision makers when such events occur. One way to obtain a deeper and bet...

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Bibliographic Details
Main Author: Tinoco, Joaquim Agostinho Barbosa (author)
Other Authors: Ribeiro e Sousa, Luís (author), Miranda, Tiago F. S. (author), Leal e Sousa, Rita (author)
Format: conferencePaper
Language:eng
Published: 2021
Subjects:
Rockburs
Risk assessment
Soft computing
Neural networks
Rockburst
Engenharia e Tecnologia::Engenharia Civil
Online Access:http://hdl.handle.net/1822/75406
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/75406

Internet

http://hdl.handle.net/1822/75406

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