Title :
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
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;
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
DOI :
10.1109/WiCom.2008.1222
