摘要
针对海上编队通信链路威胁估计涉及因素多、知识表示与推理存在不确定性等问题,分析了海上编队通信链路威胁要素,依据要素间因果关系建立了通信链路威胁估计的混合动态贝叶斯网络(DBN)模型,提出了混合DBN模型中连续型网络节点变量的学习方法。仿真分析证实了该方法的有效性和可操作性。
Aimed at a great deal of factors and knowledge representation and reasoning in communication link threat evaluation of warship formation, the paper analyzes on the factors and the causal relationship between the factors for communication link threat evaluation of warship formation, a model of Hybrid Dynamic Bayesian Network （DBN） is employed and the continuous network nodes variable learning methods is put forward in hybrid DBN. The result shows that the method is practical and manipuility.
出处
《湖南文理学院学报（自然科学版）》
CAS
2016年第1期65-70,共6页
Journal of Hunan University of Arts and Science(Science and Technology)
关键词
海上编队
通信链路
威胁估计
混合动态贝叶斯网络
warship formation
communication link
threat evaluation
hybrid dynamic bayesian network
