Application of dynamic Bayesian networks in tactical situation assessment
Wang Bao-shu · Jisuanji yingyong yanjiu · 2011
This paper constructed a dynamic Bayesian networks model for situation assessment.The model considered discrete variable set as the object of study.Since the dynamic Bayesian networks model satisfied the Markovian property and stationary,the complexity of the networks was reduced.Compared with Bayesian networks,this dynamic Bayesian networks model took temporal factor into account.Through this model,the current situation assessment was not only associated with the evidence at the moment,but also with previous situation.Simultaneously,the next time situation could be predicted.The junction tree algorithm and Bayesian inferencing software was used in the experiments.Experimental results show that the situation assessment result is better than that of Bayesian networks,and the dynamic Bayesian networks model is effective.