Title :
Trace data association with artificial neural network improved classified principle
Author :
Ganlin, Shan ; Xiaohui, Qi ; Houde, Quan
Author_Institution :
Shijiazhuang Mech. Eng. Coll., China
Abstract :
Artificial neural network ART model with improved classified principle is applied to trace data association of air target. The model with improved similitude classified principle avoids the incorrect result of trace data association by directly using ART model in some special situation. In the end of the paper, the simulation result is presented
Keywords :
ART neural nets; military computing; pattern classification; target tracking; ART neural network; air target; artificial neural network; classification; military computing; trace data association; tracking; Artificial neural networks; Educational institutions; Mechanical engineering; Subspace constraints; Target tracking;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863420
