期刊文献+

实现态势估计的一种推理方法 被引量:2

A Reasoning Method to Realize Situation Assessment
下载PDF
导出
摘要 1 引言美国联合领导实验室(JDL)数据融合小组(DFS)建立数据融合处理模型肥数据融合分为三级;一级是对目标位置和身份的估计;二级是对敌、我军事态势估计;三级是敌兵力威胁估计。态势估计接受一层融合的结果,从中抽取对当前军事态势尽可能准确、完整的感知,为指挥员决策提供直接的支持,是C^3I系统的“高级神经中枢”。目前态势估计尚没有完整的定义。 Battlefield situation analysis is basis of command decision- Situation assessment is most important component of current command decision system. This paper introduces inference algorithm of Bayesian network and analyzes of intrinsic characteristic and reasoning mode of situation assessment. We present application of Bayesian network to situation assessment and form inference model that can infer and get entire battlefield situation information, thus supports decision.
出处 《计算机科学》 CSCD 北大核心 2002年第6期111-113,共3页 Computer Science
基金 国防科工委预研项目:16 8 2 1
关键词 态势估计 推理方法 神经网络 贝叶斯网络 数据融合 军事 Bayesian net work, Data fusion. Situation assessment
  • 相关文献

参考文献8

  • 1Pearl J. Fusion,propagation,and structuring in belief networks.Artificial Intelligence, 1986,29(3) :241~288
  • 2Pearl J. On evidence reasoning in a hierarchy of hypothesis. Artificial Intelligence, 1986,28(3): 241 ~288
  • 3Miao A X. A Computational Situation Assessment Model for Nuclear Power Plant Operations. IEEE Trans. on SMC, 1997,27(6)
  • 4Zhang Weixiong. A Template-based and Pattern Driven Application to Situation Awareness and Assessment in Virtual Humans.In: Proc. of the Forth Inter. Conf. on Autonomous Agents,Barcelona ,Spain,June 2000
  • 5Nobel D. Distributed situation assessment. In: Proc. of Inter.Conf. on multisource-multisenaor information fusion, USA,1998.478~485
  • 6Hanson M L. An intelligence agent for supervisory cOntrol of teams of unihabited combat air vehicles(UCAVs), Unmanned Systems 2000 Conf. Orlando,FL,July, 2000. 11~13
  • 7Heckerman D. A tutorial on learning Bayesian Networks: [Technical Report]. Microsoft Research Adwanced Technology Division,1995
  • 8Albrecht D W. Towards a Bayesian model for keyhole plan recognition in large domains. In:proc. of the sixth Intl. Conf. UM97

同被引文献8

引证文献2

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部