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基于贝叶斯网络的态势估计方法
引用本文:孙兆林,杨宏文,胡卫东.基于贝叶斯网络的态势估计方法[J].计算机应用,2005,25(4):745-747.
作者姓名:孙兆林  杨宏文  胡卫东
作者单位:国防科学技术大学,电子科学与工程学院,湖南,长沙,410073;国防科学技术大学,电子科学与工程学院,湖南,长沙,410073;国防科学技术大学,电子科学与工程学院,湖南,长沙,410073
摘    要:分析了态势估计的主要功能,提出态势估计系统以事件检测为核心和起点。分析了使用贝 叶斯网络进行态势估计知识表示问题,并对态势估计中的时空知识表示进行了探讨,提出了构建贝叶斯 网络进行态势估计的步骤,分析了态势估计系统事件的层次。给出一个具体的实例,演示了使用贝叶斯 网络进行态势估计的过程。

关 键 词:态势估计  贝叶斯网络  事件检测  知识表示
文章编号:1001-9081(2005)04-0745-03

Methods based on the Bayesian networks for situation assessment
SUN Zhao-Lin,YANG Hong-wen,HU Wei-dong.Methods based on the Bayesian networks for situation assessment[J].journal of Computer Applications,2005,25(4):745-747.
Authors:SUN Zhao-Lin  YANG Hong-wen  HU Wei-dong
Affiliation:School of Electronic Science and Engineering,National University of Defense Technology
Abstract:The main functions of situation assessment were analysed.That the kernel and start point of the situation assessment system is the event detection was brought forward.The situation assessment knowledge representation using the Bayesian networks and the time/spatial knowledge representation in the situation assessment were discussed.The steps to construct a Bayesian networks for situation assessment were presented,and the layers of events in the situation assessment system were analysed. Finally,the process of how to use the Bayesian networks for situation assessment was showed by an example.
Keywords:situation assessment  Bayesian networks  event detection  knowledge representation
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