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Adding Additional Features to Improve Time Series Prediction Cover

Adding Additional Features to Improve Time Series Prediction

Research Papers Faculty of Materials Science and Technology Slovak University of Technology
Volume 27 (2019): Issue 45 (September 2019)
By: Dmitrii Borkin,  Martin Németh,  German Michaľčonok and  Olga Mezentseva  
Open Access
|Dec 2019

Authors

Dmitrii Borkin

dmitrii.borkin@stuba.sk

Slovak University of Technology in Bratislava, Faculty of Materials Science and Technology in Trnava, Institute of Applied Informatics, Automation and Mechatronics, Trnava

Martin Németh

martin.nemeth@stuba.sk

Slovak University of Technology in Bratislava, Faculty of Materials Science and Technology in Trnava, Institute of Applied Informatics, Automation and Mechatronics, Trnava

German Michaľčonok

german.michalconok@stuba.sk

Slovak University of Technology in Bratislava, Faculty of Materials Science and Technology in Trnava, Institute of Applied Informatics, Automation and Mechatronics, Trnava

Olga Mezentseva

omezentceva@ncfu.ru

The Institute of Information Technologies and Telecommunications of NCFU, Stavropol, Russian Federation
DOI: https://doi.org/10.2478/rput-2019-0028 | Journal eISSN: 1338-0532
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Language: English
Page range: 72 - 78
Submitted on: Aug 19, 2019
|
Accepted on: Oct 8, 2019
|
Published on: Dec 16, 2019
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Time series,
Prediction,
Machine learning,
Statistics
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2019 Dmitrii Borkin, Martin Németh, German Michaľčonok, Olga Mezentseva, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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