Novel Rock Image Classification: The Proposal and Implementation of HKUDES_Net
Author:
Funder
University of Hong Kong
Publisher
Springer Science and Business Media LLC
Subject
Geology,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00603-023-03235-0.pdf
Reference79 articles.
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3. Barton N, Lien R, Lunde J (1974) Engineering classification of rock masses for the design of tunnel support. Rock Mech Rock Eng 6:189–236
4. Benaouda D, Wadge G, Whitmarsh RB, Rothwell RG, Macleod C (1999) Inferring the lithology of borehole rocks by applying neural networks classifiers to downhole logs: an example from the Ocean Drilling Program. Geophys J Int 136(2):477–491
5. Bergen KJ, Johnson PA, de Hoop MV, Beroza GC (2019) Machine learning for data-driven discovery in solid earth geoscience. Science 363:1299
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