MACHINE LEARNING IN THE PROBLEM OF FORECASTING THE TIME SERIES OF MUF OF SHORT-WAVE RADIO CHANNELS
Keyword(s):
The article is devoted to the creation of an algorithm for long-term prediction of the values of the MPR. The paper analyzes the influence of various methods of processing raw values of the maximum applicable frequency on the results of machine learning algorithms, such as linear regression and XGBoost. As processing techniques, the Savitsky -Goley filtration method and the isolated forest algorithm were used to determine emissions for the daily course of the MPR.
Keyword(s):
2021 ◽
Vol 77
(18)
◽
pp. 3253
2021 ◽
Vol 9
(VI)
◽
pp. 4367-4374
2021 ◽
Vol 118
(40)
◽
pp. e2026053118