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Journals
Applied Computer Systems
Volume 25 (2020): Issue 2 (December 2020)
Open Access
Suitability Determination of Machine Learning Techniques for the Operational Quality Assessment of Geophysical Survey Results
Kirill Abramov
Kirill Abramov
and
Janis Grundspenkis
Janis Grundspenkis
| Dec 28, 2020
Applied Computer Systems
Volume 25 (2020): Issue 2 (December 2020)
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Published Online:
Dec 28, 2020
Page range:
153 - 162
DOI:
https://doi.org/10.2478/acss-2020-0017
Keywords
Classification trees
,
machine learning
,
neural networks
,
well logging
© 2020 Kirill Abramov et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Kirill Abramov
Branch Office “Geotehnocenter” of JSC Volcovgeology
Almaty, Kazakhstan
Janis Grundspenkis
Riga Technical University,
Riga, Latvia