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基于混合高斯模型的指标优化方法
  • ISSN号:1000-0984
  • 期刊名称:数学的实践与认识
  • 时间:2011.8.8
  • 页码:151-155
  • 分类:E921[军事—军事装备学;兵器科学与技术—武器系统与运用工程]
  • 作者机构:[1]College of Information System and Management, National University of Defense Technology, Changsha 410073, Hunan, China, [2]Department of Naval Headquarters, Beijing 100038, China
  • 相关基金:Sponsored by the National Natural Science Foundation(71101149 71071160 91024006); Natural Science Foundation of Hunan Province(11JJ4065); Ph.D.Programs Foundation of Ministry of Education of China(20104307120020)
  • 相关项目:复杂信息系统功能活动模型集成分析方法
中文摘要:

As the increase of the complexity of the information warfare,its intervention strategy needs to be designed in an integrated environment.However,the current research always breaks the internal relation between equipment and tactics,and it is difficult to meet the requirements of their integrated analysis.In this paper,the research status quo of the integrated analysis about equipment and tactics is discussed first,some shortages of the current methods are summarized then,and an evolvement mechanism of the integrated analysis for equipment and tactics is given finally.Based on these,a framework of integrated analysis is proposed.This method’s effectiveness is validated by an example.

英文摘要:

As the increase of the complexity of the information warfare,its intervention strategy needs to be designed in an integrated environment.However,the current research always breaks the internal relation between equipment and tactics,and it is difficult to meet the requirements of their integrated analysis.In this paper,the research status quo of the integrated analysis about equipment and tactics is discussed first,some shortages of the current methods are summarized then,and an evolvement mechanism of the integrated analysis for equipment and tactics is given finally.Based on these,a framework of integrated analysis is proposed.This method's effectiveness is validated by an example.

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期刊信息
  • 《数学的实践与认识》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国科学院数学与系统科学研究院
  • 主编:林群
  • 地址:北京大学数学科学学院
  • 邮编:100871
  • 邮箱:bjmath@math.pku.edu.cn
  • 电话:010-62759981
  • 国际标准刊号:ISSN:1000-0984
  • 国内统一刊号:ISSN:11-2018/O1
  • 邮发代号:2-809
  • 获奖情况:
  • 国内外数据库收录:
  • 美国数学评论(网络版),德国数学文摘,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:22973