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反导案例匹配中的距离度量算子

Distance Metric Operator of Antimissile Case Retrieve
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摘要 反导作战中运用案例推理的方法重用以往的相似案例可以提高决策效率,在相似案例的匹配中对于数值属性的相似度计算常用到的是基于距离的度量方法,现有的基于距离度量的方法对于较相似案例之间的区分性不高。针对这一问题,提出一种新的距离度量算子,经数学公式推导证明了其合理性,通过与其他度量算子的对比,证明该算子在2个数值相差很小时有着更高的分辨率。用该算子改进欧式距离,在弹道导弹相似识别实验中验证了其有效性。 A case-based reasoning is applied to antimissile operations. The efficiency of decisionmaking can be improved by reusing similar cases. Distancebased measurement is a common method of casesimilarity calculation,and the existing distancebased computation methods are less discrimination between similar cases. A new distance metric operator is proposed to solve this problem. The reasonableness of the operator is proved by mathematical formula. By comparing with other metric operators,it is proved that the operator has a higher resolution when the difference between the two numbers is small. The Euclidean distance is improved by this operator,which is proved to be effective in the similar recognition experiment of ballistic missile.
出处 《现代防御技术》 北大核心 2017年第6期89-94,共6页 Modern Defence Technology
基金 国家自然科学基金(71771216) 国家青年科学基金(71701209)
关键词 反导作战 案例推理 案例匹配 距离度量算子 分辨率 欧式距离 antimissile operation case-based reasoning case retrieve distance metric operator resolution Euclidean distance
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