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相似案例自适应选择算法及其应用 被引量：2

Adaptive case retrieval algorithm and application
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摘要 为提高相似案例选择的效率和准确性,将有向无环图支持向量机(DAGSVM)多类分类器应用到相似案例选择中,提出多类分类器有效分辨阈值的概念,在保证一定案例选择准确度的前提下,对自适应构造案例集进行相似案例选择,提高相似案例选择的效率.将该方法应用于光动力治疗(PDT)鲜红斑痣(PWS)案例推理专家系统,实验结果表明了该方法的有效性. In order to improve the accuracy and efficiency of retrieving in case-based reasoning （CBR）, an algorithm based on case retrieval is proposed, which uses directed acyclic graph support vector machines （DAGSVM） in retrieval. The effective differentiation threshold of DAGSVM is defined, and an adaptive subset of cases is built for each new case and the similar cases are selected in the subset. Using the approach, case retrieval is more efficient and accurate. The approach is applied in photodynamic therapy port wine stain CBR system, and the results show a dramatic increase in retrieving efficiency.
作者 程刚 钟秋海
机构地区 北京理工大学自动控制系
出处 《控制与决策》 EI CSCD 北大核心 2007年第3期357-360,共4页 Control and Decision
关键词 基于案例推理 案例选择 支持向量机 有向无环图 Case-based reasoning Case retrieval Support vector machines Directed acyclic graph
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
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参考文献14

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  • 2Ramon Lopez de Mantaras.Case-based reasoning[J].Lecture Notes in Computer Science.2001,2049:127-145.
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二级参考文献16

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共引文献132

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控制与决策
2007年 第3期

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