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基于CBR的信息系统案例检索多Agent模型研究
引用本文:高慧颖,颜志军.基于CBR的信息系统案例检索多Agent模型研究[J].计算机工程与设计,2008,29(5):1226-1228.
作者姓名:高慧颖  颜志军
作者单位:北京理工大学,管理与经济学院,北京,100081
摘    要:将Multi-Agent技术应用于信息系统案例检索中,结合CBR技术与Web Service思想,提出了基于CBR的信息系统案例检索多Agent系统的模型框架和运作流程,设计了基于智能聚类的案例检索算法,通过神经网络的自组织学习优化案例检索的过程,使得该多Agent系统成为具有高度自治性的自我学习与完善的系统,为信息系统案例检索系统的研究与开发提供了一定的借鉴.

关 键 词:聚类分析  多智能体  基于案例的推理  信息系统  案例检索
文章编号:1000-7024(2008)05-1226-03
修稿时间:2007年3月16日

Research on multi-Agent system model for case retrieval of information systems based on CBR
GAO Hui-ying,YAN Zhi-jun.Research on multi-Agent system model for case retrieval of information systems based on CBR[J].Computer Engineering and Design,2008,29(5):1226-1228.
Authors:GAO Hui-ying  YAN Zhi-jun
Affiliation:GAO Hui-ying,YAN Zhi-jun(School of Management , Economics,Beijing Institute of Technology,Beijing 100081,China)
Abstract:The multi-Agent technique is introduced into the case retrieval of information systems.With the combination of CBR technique and web service,the framework of CBR based multi-Agent system model for case retrieval of information systems is put forward and the operating process is analyzed.Based on the theory of self-organization neural network the intelligent clustering based case retrieval algorithm of information systems is studied,which makes the multi-Agent system highly autonomous and self-adaptive.The r...
Keywords:clustering analysis  multi-Agent  case-based reasoning  information systems  case retrieval  
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