首页 | 本学科首页   官方微博 | 高级检索  
     

基于通用黑板模型的IMSE网络中心节点识别
引用本文:薛业飞,赵跃,曹志耀,XUE Ye-fei,ZHAO Yue,CAO Zhi-yao. 基于通用黑板模型的IMSE网络中心节点识别[J]. 指挥控制与仿真, 2006, 28(1): 48-51
作者姓名:薛业飞  赵跃  曹志耀  XUE Ye-fei  ZHAO Yue  CAO Zhi-yao
作者单位:解放军电子工程学院,安徽,合肥,230037;解放军电子工程学院,安徽,合肥,230037;解放军电子工程学院,安徽,合肥,230037
摘    要:运用通用黑板理论和D-S证据理论探索IMSE网络中心节点识别问题。构建了基于通用黑板框架的IMSE网络中心节点识别模型,讨论了该模型体系的体系结构和实现方法,对该模型的工作流程进行了详细论述。给出了一种基于D-S证据理论的高效识别规则。该系统中专家系统直接给出了基本概率赋值,减少了计算繁琐程度,从而可大大减轻目标识别系统的压力。最后通过仿真结果具体分析了模型的工作情况。

关 键 词:通用黑板  IMSE  节点识别  D-S证据理论
文章编号:1673-3819(2006)01-0048-04
修稿时间:2005-09-28

Generic Blackboard Model-Based Network Center Node Recognition for IMSE
XUE Ye-fei,ZHAO Yue,CAO Zhi-yao. Generic Blackboard Model-Based Network Center Node Recognition for IMSE[J]. Command Control & Simulation, 2006, 28(1): 48-51
Authors:XUE Ye-fei  ZHAO Yue  CAO Zhi-yao
Abstract:The paper explore the node recognition problem through D-S evidence theory and generic blackboard theory, constructs a network node recognition model for IMSE which based on the generic blackboard(GBB).The architecture of this blackboard model and its implementation method are discussed. The paper gives a recognition formula based on D-S evidence theory which can improve the efficiency of recognition on node. The expert system gives the basic approximate number which can decrease the degree of calculation cockamamie. At last it gives some results of simulation and discusses the operation process of the model in detail.
Keywords:generic blackboard (GBB)  IMSE  node recognition  D-S evidence theory
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《指挥控制与仿真》浏览原始摘要信息
点击此处可从《指挥控制与仿真》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