Case-based reasoning system and artificial neural networks: A review

被引:34
|
作者
Chen, DQ [1 ]
Burrell, P [1 ]
机构
[1] S Bank Univ, Knowledge Based Syst Ctr, Sch Comp Informat Syst & Math, London SE1 0AA, England
来源
NEURAL COMPUTING & APPLICATIONS | 2001年 / 10卷 / 03期
关键词
artificial intelligence; artificial neural networks; case-based reasoning; decision-making system; expert system; machine learning;
D O I
10.1007/PL00009897
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this survey paper, the-state-of-art of the connectionist model (i.e. Artificial Neural Network (ANN)) based methodology for a Case-Based Reasoning (CBR) system design is discussed. Special emphasis is laid on how the ANN can advance CBR technology by building an ANN-based CBR system, or integrating itself as a component within a CBR system. Several ANN models proposed for constructing a CBR system and for solving some special issues involved in a CBR process are described. The main characteristics of each model are analysed, and the advantages and limitations of different models are compared. Also, future research directions are outlined.
引用
收藏
页码:264 / 276
页数:13
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