首页 | 本学科首页   官方微博 | 高级检索  
     检索      

影响装备性能的电磁环境因素GM(1,n)模型定量分析
引用本文:柯宏发,陈永光,李元左.影响装备性能的电磁环境因素GM(1,n)模型定量分析[J].北京理工大学学报,2012,32(5):546-550.
作者姓名:柯宏发  陈永光  李元左
作者单位:装备学院试验指挥系,北京,101416;军械工程学院,河北,石家庄050003;装备学院基础部,北京,101416
基金项目:博士后科学基金资助项目(20090450217),国家部委基金资助项目(2011SY41A1001,513300101)
摘    要:为了对战场电磁环境影响因素进行定量分析并排序,针对小样本试验数据,提出基于GM(1,n)模型综合装备性能及其电磁环境影响因素进行建模,介绍了实现算法.为了提高GM(1,n)模型的建模精度,建立了基于背景值加权处理的GM(1,n)优化模型与算法;对某电子侦察装备的侦察概率与3个相关电磁环境影响因素的GM(1,4)建模进行了验证.结果表明,文中所提模型和算法合理有效,能定量分析电磁环境影响因素对装备侦察概率的影响主次关系.

关 键 词:侦察概率  影响因素  多变量灰色模型  模型优化
收稿时间:2011/5/30 0:00:00

Quantitative Analysis of Electromagnetic Environment Factors that Influence the Equipment Efficiency Using GM(1,n) Model
KE Hong-f,CHEN Yong-guang and LI Yuan-zuo.Quantitative Analysis of Electromagnetic Environment Factors that Influence the Equipment Efficiency Using GM(1,n) Model[J].Journal of Beijing Institute of Technology(Natural Science Edition),2012,32(5):546-550.
Authors:KE Hong-f  CHEN Yong-guang and LI Yuan-zuo
Institution:Department of Testing and Command, Academy of Equipment, Beijing 101416, China;Ordnance Engineering College, Shijiazhuang, Hebei 050003, China;Department of Basic Theories, Academy of Equipment, Beijing 101416, China
Abstract:For analyzing quantitatively the electromagnetic environment influencing factors and making them in order, the GM(1, n) model of small samples was put forward to synthesize the equipment efficiency and the electromagnetic environment influencing factors. Its corresponding algorithm was introduced. Also, to improve the modeling precision, the optimized GM(1, n) model and algorithm were presented optimal weight processing of background values. The rationality and validity of the proposed method above were verified through GM(1,4) modeling and optimized GM(1,4) modeling for the reconnaissance probability of a electronic equipment and 3 interrelated electromagnetic environment influencing factors. The results show that the relation between the primary and secondary factors that influence equipment efficiency could be analyzed quantitatively.
Keywords:reconnaissance probability  influencing factors  GM(1  n) model  model optimization
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《北京理工大学学报》浏览原始摘要信息
点击此处可从《北京理工大学学报》下载免费的PDF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