计算机应用 ›› 2005, Vol. 25 ›› Issue (04): 745-747.DOI: 10.3724/SP.J.1087.2005.0745

• 人工智能与仿真 • 上一篇    下一篇

基于贝叶斯网络的态势估计方法

孙兆林,杨宏文,胡卫东   

  1. 国防科学技术大学电子科学与工程学院
  • 发布日期:2005-04-01 出版日期:2005-04-01

Methods based on the Bayesian networks for situation assessment

SUN Zhao-lin,YANG Hong-wen,HU Wei-dong   

  1. School of Electronic Science and Engineering,National University of Defense Technology
  • Online:2005-04-01 Published:2005-04-01

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

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.

Key words:  situation assessment, Bayesian networks, event detection, knowledge representation

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