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基于模糊C均值聚类方法的子母弹落点识别 被引量：2

Falling Point Identification of Cluster Bomb Based on FCM Cluster
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摘要 对子母弹落点的随机特点进行了分析,基于模糊C均值聚类方法,分析了一定面积上散布子弹的分布中心及类别,提出了由单个子弹落点特征判断识别该子弹在母弹腔体中所处位置的计算方法,该方法通过了模拟计算,识别效果较明显. The randomness of submunition falling point of cluster bomb was analyzed. Based on fuzzy Cmeans （FCM） algorithm, the distribution center and the type of shrapnel were studied. A new method by which the submunition position was identified in the cavity of bomb was presented by the characteristic of single submunition falling point. The means is feasible by simulation.
作者 王国亮 孙新利 余文力
机构地区 中国人民解放军第二炮兵工程学院一系
出处 《弹道学报》 EI CSCD 北大核心 2007年第2期48-50,共3页 Journal of Ballistics
关键词 子母弹 模糊C均值 聚类方法 bomb dispenser fuzzy C-means clustering method
分类号 TJ013.2 [兵器科学与技术—兵器发射理论与技术]
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共引文献1

同被引文献13

  • 1雷娟棉,苗瑞生,居贤铭.战术火箭子母战斗部第一次抛撒分离多体干扰流场数值模拟[J].北京理工大学学报,2004,24(9):766-769. 被引量：13
  • 2廖广兰,史铁林,刘世元.基于非线性映射的特征提取技术研究[J].华中科技大学学报（自然科学版）,2004,32(12):54-56. 被引量：4
  • 3孔维红,姜春兰,王在成.某型航空子母弹子弹地面散布研究[J].航空兵器,2005,12(4):43-46. 被引量：17
  • 4匡平,朱清新,陈旭东.基于FCM的快速模糊聚类算法研究[J].电子测量与仪器学报,2007,21(2):15-20. 被引量：9
  • 5总装备部电子信息基础部.2005年世界武器装备与军事技术发展报告[R].北京:国防工业出版社,2006.
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  • 9Cavallini A, Contin A, Montanari G C, et al. Advanced PD inference in on-field measurements. Part Ⅱ: identification of defects[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2003, 10(2): 528-537.
  • 10Cavallini A, Montanari G C, Puletti F. A fuzzy logic algorithm to detect electrical trees in polymeric insulation systems[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2005, 12(6): 1134- 1144.

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二级引证文献16

弹道学报
2007年 第2期

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