
Technique for recognition of aircrafts and radar traps in the control circuit of airspace control system based on neural network technology
Author(s) -
A. V Bobin,
V. A Azarov,
S. A. Bulgakov,
D. A Savin
Publication year - 2013
Publication title -
izvestiâ mgtu "mami"
Language(s) - English
Resource type - Journals
eISSN - 2949-1428
pISSN - 2074-0530
DOI - 10.17816/2074-0530-67843
Subject(s) - radar , artificial neural network , computer science , cascade , feedforward neural network , set (abstract data type) , artificial intelligence , control (management) , feed forward , engineering , control engineering , telecommunications , chemical engineering , programming language
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.