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Title: | Definition of anomalies in science and technology |
Authors: | Kamenko, D. |
Keywords: | anomaly detection method Wolfram Mathematica аномальные значения компьютерные системы математические модели anomaly value matrix decomposition |
Issue Date: | 2022 |
Publisher: | Витебск : ВГУ имени П. М. Машерова |
Citation: | Kamenko, D. Definition of anomalies in science and technology / D. Kamenko // The Youth of the 21st Century: Education, Science, Innovations : Proceedings of IX International Conference for Students, Postgraduates and Young Scientists, Vitebsk, December 9, 2022. – Vitebsk : VSU named after P. M. Masherov, 2022. – P. 12–14. – Bibliogr.: p. 14 (3 nam.). |
Abstract: | The problem of automating the process of detecting anomalous values of a data array is important in engineering practice. It is known that anomalous values can significantly distort the functioning of mathematical models for data analysis, which can lead to a decrease in reliability and incorrect operation of the entire system. As a computer system for organizing the process of automating the process of determining anomalous values, we have chosen the Wolfram Mathematica system. It allows you to apply machine learning methods to solve this problem. |
URI: | https://rep.vsu.by/handle/123456789/35820 |
ISBN: | 978-985-517-981-9 |
Appears in Collections: | The Youth of the 21st Century: Education, Science, Innovations : Proceedings of IX International Conference for Students, Postgraduates and Young Scientists, Vitebsk, December 9, 2022. – Vitebsk : VSU named after P. M. Masherov, 2022. – 402 р. |
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