节点文献
聚类分析方法在基于案例推理系统中的应用
Application of Analytical Method of Cluster in Case-Based Reasoning System
【摘要】 在基于案例推理的系统中,案例检索是一个关键的问题,案例检索的速度不仅与案例检索算法有密切关系,而且同案例库所使用的索引方法也有着紧密联系。准确、快速地获得案例的解决方案是评价基于案例推理系统的一个重要方面。当案例库中的案例数量较多时,案例的检索速度问题更为突出,采用多级索引的技术可以有效提高案例检索的速度。文中分析了如何采用聚类分析的方法来为案例库建立多级索引。
【Abstract】 Case search is a key problem in case-based reasoning system. The speed that the case searches not merely has close relations to search algorithms with the case, and the index method used with the case storehouse has close connections. The solution of the accurate, fast acquisition case is an important respect to appraise the case reasoning system .With cases in the case storehouse increasing, the speed question on the case searches is more outstanding, the technology of adopting many grades of indexes can improve the speed of the case searches effectively. This paper analyses how to adopt cluster to set up large magnitudes of indexes for the case storehouse by the method of analysis.
【Key words】 case-based reasoning; cluster analysis; multi-grade index; artificial intelligence;
- 【文献出处】 微机发展 ,Microcomputer Development , 编辑部邮箱 ,2004年12期
- 【分类号】C934
- 【被引频次】20
- 【下载频次】492