基于贝叶斯网络的舰机协同动态结果预测研究

Research on Dynamic Cooperation Results Prediction Between Aircraft Carrier and AEW Based on Bayesian Network

针对预警机支援下的舰机协同动态过程中的结果预测问题,以双方战机之间的攻防作战为研究背景,首先选取作战中的特征变量,然后根据特征变量构建了贝叶斯网络,确定各节点条件分布概率,增加与舰艇相关的新的特征量,最后通过模拟贝叶斯网络的Netica软件进行仿真分析,结果表明Netica仿真得到的动态过程预测结果符合实际且具有一定的可靠性,可以为指挥员提供决策参考。

Aiming at the problem of predicting the results in the cooperative dynamic process supported by airborne early warning,this paper takes offensive and defensive operations between warplanes of both sides as the research background.Firstly,the characteristic variables in combat are selected,then the Bayesian network is constructed according to the characteristic variables,then the probability of condition distribution of each node is determined.Finally,the Bayesian network is simulated by Netica.The simulation results of Netica software show that the dynamic process prediction results under Netica simulation are practical and reliable,and can provide decision-making reference for commanders.