电邮这篇文章 Technique for recognition of aircrafts and radar traps in the control circuit of airspace control system based on neural network technology
- 作者: Bobin A.V1, Azarov V.A1, Bulgakov S.A1, Savin D.A1
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隶属关系:
- Moscow State University of Mechanical Engineering (MAMI), National Research University Higher School of Economics
- 期: 卷 7, 编号 1-4 (2013)
- 页面: 124-130
- 栏目: Articles
- URL: https://ogarev-online.ru/2074-0530/article/view/67843
- DOI: https://doi.org/10.17816/2074-0530-67843
- ID: 67843
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详细
The paper proposes a method for building of automatic recognizers of aircrafts on a set of radar measurements based on the cascade of multilayer feedforward neural networks. The practical application of this technique in recognizing of three types of aircraft is presented as well.
作者简介
A. Bobin
Moscow State University of Mechanical Engineering (MAMI), National Research University Higher School of Economics
Email: alvbobin@gmail.com
Ph.D.
V. Azarov
Moscow State University of Mechanical Engineering (MAMI), National Research University Higher School of Economics
S. Bulgakov
Moscow State University of Mechanical Engineering (MAMI), National Research University Higher School of Economics
D. Savin
Moscow State University of Mechanical Engineering (MAMI), National Research University Higher School of Economics
参考
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- Хайкин, Саймон. Нейронные сети: полный курс.: Пер. с англ. – М.: «Вильямс», 2006.
- Осовский С. Нейронные сети для обработки информации. –М.: Финансы и статистика, 2004.
- Бакулев П.А. Радиолокационные системы. – М.: Радиотехника, 2004.
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