首页 | 本学科首页   官方微博 | 高级检索  
     

态势估计的目标编群问题研究
引用本文:李伟生 王宝树. 态势估计的目标编群问题研究[J]. 计算机科学, 2003, 30(8): 136-138
作者姓名:李伟生 王宝树
作者单位:西安电子科技大学计算机学院,西安,710071
基金项目:国防科技预研基金(00J6.6.1 DZ0103)
摘    要:Problems about target classification in situation assessment are analyzed. This paper presents a synthetic method for fulfilling target classification by using the nearest-neighbor method and field knowledge. The graphical structure formed by target classification is shown by the adjacency list. Based on the structure, breadth-first search algorithm is used for the implementation of dynamic maintenance. The output of target classification is helpful to de-termine the interaction among situation elements, thus interprets actions related to problem field.

关 键 词:态势估计 目标编群问题 数据融合系统 军事 智能决策 C^4ISR

Study of Target Classification in Situation Assessment
LI Wei-Sheng WANG Bao-Shu. Study of Target Classification in Situation Assessment[J]. Computer Science, 2003, 30(8): 136-138
Authors:LI Wei-Sheng WANG Bao-Shu
Abstract:Problems about target classification in situation assessment are analyzed. This paper presents a synthetic method for fulfilling target classification by using the nearest.neighbor method and field knowledge. The graphical structure formed by target classification is shown by the adjacency list. Based on the structure, breadth.first search algorithm is used for the implementation of dynamic maintenance. The output of target classification is helpful to determine the interaction among situation elements, thus interprets actions related to problem field.
Keywords:Situation assessment   Target classification   Breadth-first search  
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机科学》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号