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Artificial Intelligence and Decision Making, 2009, Issue 3, Pages 49–52
(Mi iipr541)
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Behavior modeling and managament
Control and diagnosis of spacecraft position sensors
A. A. Talalaev, V. P. Fralenko Ailamazyan Program Systems Institute of Russian Academy of Sciences
Abstract:
The article describes the correlation approach to the spacecraft position sensors diagnosis, associated with
the time series neural networks prediction. Some experimental results are presented.
Keywords:
artificial neural network, correlation analysis, sensor breakdown, analysis of pair correlations.
Citation:
A. A. Talalaev, V. P. Fralenko, “Control and diagnosis of spacecraft position sensors”, Artificial Intelligence and Decision Making, 2009, no. 3, 49–52
Linking options:
https://www.mathnet.ru/eng/iipr541 https://www.mathnet.ru/eng/iipr/y2009/i3/p49
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Statistics & downloads: |
Abstract page: | 31 | Full-text PDF : | 19 | References: | 1 |
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