Study on Algorithm of UAV Threat Strength Assessment Based on Bayesian Network

Author

Ge, Yan ; Shui, Wei

Author_Institution

Dept. of Inf. Sci. & Technol., Qingdao Univ. of Sci. & Technol., Qingdao

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

4

Abstract

As one of the most important harvest in AI field, Bayesian networks is widely used in uncertain problem´s reasoning and decision-making. After the theory and inference mechanism of Bayesian networks was introduced, this paper mainly studies the application of Bayesian networks in overlapped threat strength assessment. A model based on Bayesian networks is provided. Simulation result shows that the algorithm is effective and is able to reflect the real threat strength of UAV.

Keywords

Bayes methods; aerospace computing; aircraft control; artificial intelligence; decision making; inference mechanisms; military aircraft; military computing; remotely operated vehicles; Bayesian network; artificial intelligence; decision making; inference mechanism; unmanned air vehicle threat strength assessment; Artificial intelligence; Automation; Bayesian methods; Decision making; Inference algorithms; Information science; Neural networks; Probability distribution; Technology planning; Unmanned aerial vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.1222

Filename

4679130