Trace data association with artificial neural network improved classified principle

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 o...

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Bibliographic Details
Main Authors: Shan Ganlin, Qi Xiaohui, Quan Houde
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Educational institutions
Mechanical engineering
Subspace constraints
Target tracking
Online Access:Request full text
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Summary: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.
DOI:10.1109/WCICA.2000.863420