计算机工程与应用Issue(1)：16-20,28,6.DOI:10.3778/j.issn.1002-8331.1306-0279
基于效用值的范例库记忆算法研究
Study on memory algorithm of case base based on utility value
摘要
Abstract
In the Cases-Based Reasoning(CBR)system, all new cases are uncritically added to the case base, resulting in case base filled with many redundant and inaccurate cases. To solve this issue, this paper proposes a memory algorithm of case base based on utility value. This algorithm can selectively add new cases to case base, delete redundant and inaccurate cases, strengthen the cases which often judge correctly, and weaken the cases which often judge uncorrectly. The experiments show that, the MCBR system not only can reduce the storage space of case base, but also improve the classification accuracy.关键词
范例推理/效用值/记忆算法Key words
Case-Based Reasoning(CBR)/utility value/memory algorithm分类
信息技术与安全科学引用本文复制引用
陈帅均,周进,吴钦章..基于效用值的范例库记忆算法研究[J].计算机工程与应用,2014,(1):16-20,28,6.基金项目
国家高技术研究发展计划（863）（No.G107302）。 （）
