Threat Level Assessment of the Air Combat Target Based on DBN
YAN Shili
LI Dehua
Abstract：During air combat ,the threat level assessment of the enemy's air targets to our military can help commander to make decisions ,but in the process of the war ,information has a high degree of uncertainty .Bayesian Networks has the advantages of dealing with the uncertain and complex issue ,in this paper ,Dynamic Bayesian Networks are combined with threat assessment model to establish a model which is used for assessmenting threat level .The software Netica that can infer Bayesian Networks on the network model is used to have a experiment ,the results show that the model based on Dynamic Bayesian Networks can effectively assessment the threat level of air combat targets to our army .
Keywords：Dynamic Bayesian Networksposterior probabilitythreat assessment
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2150-2154,2198 )