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BIBLIOMETRIC MAPPING OF THE COMPUTATIONAL INTELLIGENCE FIELD.

Authors :
VAN ECK, NEES JAN
WALTMAN, LUDO
Source :
International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems. Oct2007, Vol. 15 Issue 5, p625-645. 21p. 6 Diagrams, 4 Charts.
Publication Year :
2007

Abstract

In this paper, a bibliometric study of the computational intelligence field is presented. Bibliometric maps showing the associations between the main concepts in the field are provided for the periods 1996–2000 and 2001–2005. Both the current structure of the field and the evolution of the field over the last decade are analyzed. In addition, a number of emerging areas in the field are identified. It turns out that computational intelligence can best be seen as a field that is structured around four important types of problems, namely control problems, classification problems, regression problems, and optimization problems. Within the computational intelligence field, the neural networks and fuzzy systems subfields are fairly intertwined, whereas the evolutionary computation subfield has a relatively independent position. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02184885
Volume :
15
Issue :
5
Database :
Academic Search Index
Journal :
International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems
Publication Type :
Academic Journal
Accession number :
27018491
Full Text :
https://doi.org/10.1142/S0218488507004911