Synthesis of optimal algorithm of recognition numerical model of group air target from class «turbojet aircrafts» based on Kalman filtering and neural network
Автор: Bogdanov Аleksandr V., Petrov Sergei G., Kuchin Аleksandr A., Lobanov Аleksandr A., Shepranov Vitalii V.
Журнал: Журнал Сибирского федерального университета. Серия: Техника и технологии @technologies-sfu
Рубрика: Информационно-коммуникационные технологии
Статья в выпуске: 3 т.15, 2022 года.
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In this paper discusses an optimal algorithm for recognition the numerical type of group air target based on kalman filtering and neural network, ensuring a constant probability recognizing the numerical type of group air target not less then a given by optimizing the solver rule, allowing to adapt process to different aircraft flight pattern of group air target.
Group airtarget, kalman filtering, neural network, constant probability, turbojet aircrafts, recognition
Короткий адрес: https://sciup.org/146282459
IDR: 146282459 | DOI: 10.17516/1999-494X-0397
