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Practical recommendations for machine learning in underground rock engineering – On algorithm development, data balancing, and input variable selection.

Authors :
Morgenroth, Josephine
Unterlaß, Paul J.
Sapronova, Alla
Khan, Usman T.
Perras, Matthew A.
Erharter, Georg H.
Marcher, Thomas
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.)

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