Integrated case-based reasoning

Author

Ni, Zhi-wei ; Yang, Shan-lin ; Li, Longshu ; Jia, Rui-w

Author_Institution

Inst. of Comput. Network Syst., Hefei Univ. of Technol., China

Volume

3

fYear

2003

fDate

2-5 Nov. 2003

Firstpage

1845

Abstract

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 became 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 an 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.

Keywords

case-based reasoning; genetic algorithms; knowledge based systems; learning (artificial intelligence); problem solving; classification; genetic algorithm; induction learning technique; integrated case-based reasoning; problem-solving; rule-based reasoning; Artificial intelligence; Computer networks; Computer science; Concrete; Electronic mail; Genetic algorithms; Knowledge acquisition; Learning systems; Machine learning; Problem-solving;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2003 International Conference on

Print_ISBN

0-7803-8131-9

Type

conf

DOI

10.1109/ICMLC.2003.1259797

Filename

1259797