摘要
范例推理中有许多相关的知识 ,相应地有知识获取过程 ,其中也存在一定程度的知识获取瓶颈问题 .本文着重探讨在范例推理系统中引入一系列可以使用的知识发现技术 ,以期提高范例推理系统的知识获取的自动化程度 ;本文针对提出的两类算法 。
In case based system,there are many kinds of knowledge, such as case base ,adaptation knowledge base ,indexing model, similarity assessing criteria,etc. There exists also bottleneck problem about these knowledge acquisition. The use of data mining may automate the acquisition of the knowledge and heighten the whole competence of the intelligent system. This paper discusses emphatically data mining techniques which could be used in CBR, and puts forward one algorithm of case base acquisition from historical data base and one algorithm of adaptation knowledge acquisition automatically . The experimental result shows that these methods have strengthened the performance of the system.
出处
《小型微型计算机系统》
CSCD
北大核心
2002年第2期159-162,共4页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目 (60 0 75 0 15 )资助
国家"8 63"计划项目资助