Threat Level Assessment of the Air Combat Target Based on DBN
Yan Shil · Computer and Digital Engineering · 2015
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.