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Suitability Determination of Machine Learning Techniques for the Operational Quality Assessment of Geophysical Survey Results Cover

Suitability Determination of Machine Learning Techniques for the Operational Quality Assessment of Geophysical Survey Results

Applied Computer Systems
Volume 25 (2020): Issue 2 (December 2020)
By: Kirill Abramov and  Janis Grundspenkis  
Open Access
|Dec 2020
DOI: https://doi.org/10.2478/acss-2020-0017 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 153 - 162
Published on: Dec 28, 2020
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Classification trees,
machine learning,
neural networks,
well logging
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2020 Kirill Abramov, Janis Grundspenkis, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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