Integrated case-based reasoning

被引：7

作者：

Ni, ZW ^{[1
]}

Yang, SL ^{[1
]}

Li, LS ^{[1
]}

Jia, RY ^{[1
]}

机构：

[1] Hefei Univ Technol, Inst Comp Network Syst, Hefei 230009, Peoples R China

来源：

2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS | 2003年

关键词：

case-Based Reasoning; rule-based reasoning; induction; classification;

D O I：

10.1109/ICMLC.2003.1259797

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Case-based reasoning systems solve new problems by using previous problem solving experiences stored as cases in a case base. In recent years the integrated methods of case-based reasoning have become an increasingly important research issue for the case-based reasoning community. In this paper we research the integrated case-based reasoning method based on rule-based reasoning or induction learning technique so as to heighten the efficiency of problem-solving of case-based reasoning. We also utilize genetic algorithm in a integrated case-based reasoning approach. The experiments show that the new model of integrated case-based reasoning has got a better accuracy rate of classification.

引用

页码：1845 / 1849

页数：5

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