Estimation and Prediction of the Technical Condition of an Object Based on Machine Learning Algorithms Under Conditions of Class Inequality-Reference-Cited by-同舟云学术

Estimation and Prediction of the Technical Condition of an Object Based on Machine Learning Algorithms Under Conditions of Class Inequality

Published:2022 Issue: Volume: Page:161-170
ISSN:2190-3018
Container-title:Intelligent Decision Technologies
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Author:

Krasheninnikov Victor R.^ORCID,Kuvayskova Yuliya E.^ORCID,Klyachkin Vladimir N.^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-3444-5_14

Reference33 articles.

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3. Stock, J.H., Watson, M.W.: Vector autoregressions. J. Econ. Perspect. 15(4), 101–115 (2001)

4. Kuvayskova, Y., Klyachkin, V., Krasheninnikov, V.: Recognition and forecasting of a technical object state based on its operation indicators monitoring results. In: 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020, pp. 1–6. IEEE, Vladivostok, Russia (2020)

5. Soifer, V.A. (Ed).: Computer image processing. Part I: Basic concepts and theory. VDM Verlag Dr. Muller e.K (2010)

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