Forecasting time series of spacecraft telemetry based on ensembles of neural networks
Abstract
The article describes a two-level model of neural network ensembles for predicting multidimensional telemetry time series of spacecraft subsystems. The developed model is implemented in the system for identifying their state by telemetry data for the ground command-measuring complex.
About the Authors
A. Doudkin
Объединенный институт проблем информатики НАН Беларуси
Belarus
Belarus
Y. Marushko
Объединенный институт проблем информатики НАН Беларуси
Belarus
Belarus
V. Ganchenko
Объединенный институт проблем информатики НАН Беларуси
Belarus
Belarus
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Review
For citations:
Doudkin A., Marushko Y., Ganchenko V. Forecasting time series of spacecraft telemetry based on ensembles of neural networks. Science and Innovations. 2021;(5):16-22. (In Russ.)
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