The cluster-indexing method for case-based reasoning using self-organizing maps and learning vector quantization for bond rating cases

Author： Kim K.-S.   Han I.  

Publisher： Elsevier

ISSN： 0957-4174

Source： Expert Systems with Applications, Vol.21, Iss.3, 2001-10, pp. : 147-156

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Case-based reasoning supported by genetic algorithms for corporate bond rating

By Kukar M.   Kononenko I.   Groselj C.   Kralj K.   Fettich J.   Shin K.-s.   Han I.  

Expert Systems with Applications, Vol. 16, Iss. 2, 1999-02 ,pp. : 85-95

Elsevier

Access to resources Recommend Favorite

Visualizing temporal cluster changes using Relative Density Self-Organizing Maps

By   Williams Graham   Christen Peter  

Knowledge and Information Systems, Vol. 25, Iss. 2, 2010-11 ,pp. : 281-302

Springer Publishing Company

Access to resources Recommend Favorite

A parallelized indexing method for large-scale case-based reasoning

By Chen W.-C.   Tseng S.-S.   Chang L.-P.   Hong T.-P.   Jiang M.-F.  

Expert Systems with Applications, Vol. 23, Iss. 2, 2002-08 ,pp. : 95-102

Elsevier

Access to resources Recommend Favorite

Efficient music note recognition based on a self-organizing map tree and linear vector quantization

By Youssef Khalid  

Soft Computing, Vol. 13, Iss. 12, 2009-10 ,pp. : 1187-1198

Springer Publishing Company

Access to resources Recommend Favorite

Characterisation of a Novel Indexing Technique for Case-Based Reasoning

By Patterson David  

Artificial Intelligence Review, Vol. 23, Iss. 4, 2005-06 ,pp. : 359-393

Springer Publishing Company

Access to resources Recommend Favorite