Maintaining case-based reasoning systems using a genetic algorithms approach

Cited 34 time in webofscience Cited 0 time in scopus
  • Hit : 682
  • Download : 145
The success of a case-based reasoning (CBR) system largely depends on an effective maintenance of its case-base. This study proposes a genetic algorithms (GAs) approach to the maintenance of CBR systems. This approach automatically determines the representation of cases and indexes relevant attributes to grasp the rapidly changing environment around the system. In this study, the proposed model is applied to stock market analysis. Experimental results show that the proposed model outperforms conventional CBR systems. (C) 2001 Elsevier Science Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2001-10
Language
English
Article Type
Article
Keywords

EXPERT-SYSTEMS

Citation

EXPERT SYSTEMS WITH APPLICATIONS, v.21, no.3, pp.139 - 145

ISSN
0957-4174
URI
http://hdl.handle.net/10203/3698
Appears in Collection
MT-Journal Papers(저널논문)
Files in This Item
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 34 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0