Predicting rock burst hazard with incomplete data using Bayesian networks

Published 2017 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Predicting rock burst hazard with incomplete data using Bayesian networks
Authors
Keywords
Rock burst, Bayesian networks, Tree augmented Naïve Bayes classifier, Incomplete data, Cross-validation, Sensitivity analysis, Maximum tangential stress
Journal
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
Volume 61, Issue -, Pages 61-70
Publisher
Elsevier BV
Online
2016-10-06
DOI
10.1016/j.tust.2016.09.010

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.