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Program Systems: Theory and Applications, 2010, Volume 1, Issue 1, Pages 45–59
(Mi ps3)
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This article is cited in 3 scientific papers (total in 3 papers)
Artificial Intelligence, Intelligent Systems, Neural Networks
Monitoring system of spacecraft orientation angle-data and distance transmitters based on artificial neural networks
Yu. G. Emel'yanova, K. A. Konstantinov, S. V. Pogodin, A. A. Talalaev, I. P. Tishchenko, V. P. Fralenko, V. M. Khachumov Multiprocessor Systems Research Center PSI RAS
Abstract:
The neural network technology of spacecraft orientation transmitters control task solution is described. The general organization problems of monitoring and information flow processing including experimental data interpolation and approximation is considered. The task solution results of diagnosis and information flow processing with using cluster evaluator is presented. The necessary performance level estimation of perspective bundled software is given.
Key words and phrases:
orientation transmitters control, correlation analysis, artificial neural network, spatial orientation.
Received: 13.03.2010 Accepted: 22.03.2010
Citation:
Yu. G. Emel'yanova, K. A. Konstantinov, S. V. Pogodin, A. A. Talalaev, I. P. Tishchenko, V. P. Fralenko, V. M. Khachumov, “Monitoring system of spacecraft orientation angle-data and distance transmitters based on artificial neural networks”, Program Systems: Theory and Applications, 1:1 (2010), 45–59
Linking options:
https://www.mathnet.ru/eng/ps3 https://www.mathnet.ru/eng/ps/v1/i1/p45
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Statistics & downloads: |
Abstract page: | 383 | Full-text PDF : | 174 | References: | 46 | First page: | 1 |
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