摘要
态势估计可归为一个多假设动态分类问题。如何找到态势假设和发生事件间的关系,是态势估计系统需要解决的问题。本文讨论了基于模式的态势知识库的建立,给出了一种基于模板匹配的知识推理算法,并运用专家系统工具 CLIPS 实现了事件/活动、军事计划的模板表示及推理,表明了使用模板匹配的方法求解态势估计问题的可行性。
Situation assessment is a dynamic classification problem of multiple hypotheses. Finding out the hidden patterns between situation hypothesis and events is the problem needed to solve in situation assessment system. The establishment of situation knowledge library based on schema is first discussed in this paper. And then a knowledge inference algorithm based on template matching is presented. Finally, an expert system tool, CLIPS, is utilized to implement the template expression and inference of events or activities and military plans, which shows the feasibility by using the algorithm in solving the problem of situation assessment.
出处
《计算机科学》
CSCD
北大核心
2006年第5期229-230,249,共3页
Computer Science
基金
国防科技预研基金项目资助
关键词
态势估计
信息融合
模板匹配
Situation assessment, Information fusion, Template matching
