A New Method of Complex Maneuvering Event Detection

Wei Chen; Qing Li; Jian Bin He; Tao Jin

doi:10.4028/www.scientific.net/AMM.63-64.313

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 63-64A New Method of Complex Maneuvering Event...

A New Method of Complex Maneuvering Event Detection

Abstract:

In dealing with such problems as imprecision and poor real-time performance in complex maneuverable events detection. A method based on RFNN (Rough-Fuzzy Neural Network) is proposed. Firstly, the minimal rule sets from data samples are acquired by using the Rough Set Theory; secondly, these rules are used to construct the initial scalar values of neural cells in each layer and their relative parameters in the fuzzy neural network; lastly, parameters of the network are acquired by using BP(back propagation) algorithm. The experimental results indicate that RFNN take advantage of the sample data features effectively, reduce the number of rules, simplify network structure, improve the precision of detection and the performance of real-time.

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Periodical:

Applied Mechanics and Materials (Volumes 63-64)

Pages:

313-317

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.63-64.313

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Online since:

June 2011

Authors:

Wei Chen, Qing Li, Jian Bin He, Tao Jin

Keywords:

Complex Maneuvering Event, Event Detection, RFNN, Situation Assessment

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References

[1] Emily W.Medina, Sunny Fugate, LorRaine. Next-Generation Tactical-Situation-Assessment Technology(TSAT):Chat. ICWE 2007,LNCS 4607,p: 526–532.

DOI: 10.1007/978-3-540-73597-7_49

Google Scholar

[2] GAO Jian，TONG Ming-an .Extracting decision rules for cooperative team air combat based on rough set theory[J].Chinese Journal of Aeronautics, 2003, 16(4):223-228.

DOI: 10.1016/s1000-9361(11)60188-x

Google Scholar

[3] CHEN Qi-shun. Calculation manual of aircraft Flight performance [M]. Beijing. Flight Mechanics journal press, 1987.

Google Scholar