Journal of Northeastern University(Natural Science)

Journal of Northeastern University ›› 2006, Vol. 27 ›› Issue (1): 33-36.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Analytical study on retrieving strategy in case-based reasoning system

Huang, Yu-Ji (1); Wei, Wei-Jie (1); Zeng, Wen (2)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China
  • Received:2013-06-23 Revised:2013-06-23 Online:2006-01-15 Published:2013-06-23
  • Contact: Huang, Y.-J.
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

946

Abstract: Discusses the role of case-based reasoning (CBR) in artificial intelligence systems and some commonly used CBR algorithms. Then, the efficiency of CBR systems is emphatically studied. A new retrieval algorithm L and NCBR combining the nearest-neighbor algorithm with hierarchical retrieval algorithm is designed aiming at the crucial problem of case-based reasoning system. In addition, the efficiency of the algorithm under both accurate and inaccurate conditions is discussed as well as the running result of the L and NCBR-based intelligent system. The result showed that the strategy can improve the stability of the system and efficiency of retrieval.

CLC Number: