Back to Search
Start Over
Practical recommendations for machine learning in underground rock engineering – On algorithm development, data balancing, and input variable selection.
- Source :
- Geomechanik und Tunnelbau; Oct2022, Vol. 15 Issue 5, p650-657, 8p
- Publication Year :
- 2022
-
Abstract
- <i>Copyright of Geomechanik und Tunnelbau is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
- Subjects :
- BLOCK codes
ENGINEERING
ALGORITHMS
MACHINE learning
Subjects
Details
- Language :
- German
- ISSN :
- 18657362
- Volume :
- 15
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Geomechanik und Tunnelbau
- Publication Type :
- Academic Journal
- Accession number :
- 159504708
- Full Text :
- https://doi.org/10.1002/geot.202200047