Ensembles of neural networks for forecasting of time series of spacecraft telemetry
- 作者: Marushko E.E.1, Doudkin A.A.1
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隶属关系:
- United Institute of Informatics Problems of the National Academy of Sciences of Belarus
- 期: 卷 26, 编号 1 (2017)
- 页面: 47-54
- 栏目: Article
- URL: https://journals.rcsi.science/1060-992X/article/view/194950
- DOI: https://doi.org/10.3103/S1060992X17010064
- ID: 194950
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详细
We analyzed different approaches to developing ensembles of neural networks in respect to their forecasting accuracy. We describe a two level model of ensembles of neural networks for forecasting of telemetry time series of spacecraft’s subsystems. A possibility of additional training of these ensembles of neural networks is examined. Our results show that use of ensembles of neural networks with dynamic weighing allows us to reduce the forecasting error.
作者简介
E. Marushko
United Institute of Informatics Problems of the National Academy of Sciences of Belarus
编辑信件的主要联系方式.
Email: marushko@lsi.bas-net.by
白俄罗斯, Minsk
A. Doudkin
United Institute of Informatics Problems of the National Academy of Sciences of Belarus
Email: marushko@lsi.bas-net.by
白俄罗斯, Minsk
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