THE MACHINE LEARNING TECHNIQUE FOR FORECASTINGTHE SEASONAL TIME SERIES
Journal: Izvestiâ ÛFU. Tehničeskie nauki
Year: 2023

Time series with seasonal variability is widely used to describe processes in variousfields, such as trade, analysis of financial markets, forecasting of passenger air transportation,and description of climatic changes. Recently, this approach has been widely used to describetechnological processes as well. In this regard, applying predictive models in control systems ofcomplex technical objects has become possible. Machine learning methods can be effectivelyused to build predictive models of se