Monitoring system of spacecraft orientation angle-data and distance transmitters based on artificial neural networks
Автор: Emeljanova Julia Gennadievna, Konstantinov Konstantin Alexandrovich, Pogodin Sergey Vladimirovich, Talalaev Aleksander Anatolevich, Tishchenko Igor Petrovich, Fralenko Vitaly Petrovich, Khachumov Vyacheslav Mihailovich
Журнал: Программные системы: теория и приложения @programmnye-sistemy
Статья в выпуске: 1 (1) т.1, 2010 года.
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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.
Orientation transmitters control, correlation analysis, artificial neural network, spatial orientation
Короткий адрес: https://sciup.org/14335874
IDR: 14335874
