Hybrid model of knowledge for situation recognition in airspace

Various methods are considered for the represention of knowledge regarding situation recognition in airspace. Their potential is assessed. The advantages and disadvantages of the methods are evaluated for different problems. A hybrid model of knowledge is proposed for situation recognition on the ba...

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Bibliographic Details
Published in:	Automatic control and computer sciences Vol. 48; no. 5; pp. 257 - 263
Main Authors:	Pavlenko, M. A., Timochko, A. I., Korolyuk, N. A., Gusak, M. Yu
Format:	Journal Article
Language:	English
Published:	Heidelberg Allerton Press 01-09-2014
Subjects:	Computer Science Control Structures and Microprogramming formalization of knowledge artificial neural network structure of purposes situation recognition knowledge model hybrid model of knowledge
Online Access:	Get full text
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Summary:	Various methods are considered for the represention of knowledge regarding situation recognition in airspace. Their potential is assessed. The advantages and disadvantages of the methods are evaluated for different problems. A hybrid model of knowledge is proposed for situation recognition on the basis of structures of purposes and an artificial neural network. The quality of recognition by means of the proposed model is assessed.
ISSN:	0146-4116 1558-108X
DOI:	10.3103/S0146411614050083