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Journal of Projectiles, Rockets, Missiles and Guidance >
Enemy Aerial Target Fused Recognition Based on Parameter Learning Bayesian Network
Received date: 2013-11-13
Online published: 2025-05-30
In the paper, Bayesian inference and parameter learning were studied in-depth, target fused recognition method based on parameter learning Bayesian network was proposed, multi-sensor target fused recognition Bayesian network model was built by adverse analysis, and EM parameter learning method was adopted to optimize the model. Finally, a simulation example was given, which indicated that enemy aerial targets could be recognized more effectively by the model based on parameter learning than that based on professor knowledge.
Key words： parameter learning; target recognition; Bayesian network; data fusion
DI Fangxu , WANG Xiaoping , LI Jin , LIU Zhe . Enemy Aerial Target Fused Recognition Based on Parameter Learning Bayesian Network[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2014 , 34(6) : 127 -130 . DOI: 10.15892/j.cnki.djzdxb.2014.06.033
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