Bibliometric Mapping of the Computational Intelligence Field
AbstractIn 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 1996â€“2000 and 2001â€“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.
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Bibliographic InfoPaper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. in its series Research Paper with number ERS-2007-027-LIS.
Date of creation: 24 Apr 2007
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Bibliometric mapping; Bibliometrics; Computational intelligence; Evolutionary computation; Fuzzy systems; Neural networks;
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- Heiser, Willem J. & Meulman, Jacqueline, 1983. "Analyzing rectangular tables by joint and constrained multidimensional scaling," Journal of Econometrics, Elsevier, vol. 22(1-2), pages 139-167.
- Sharon Weinberg & J. Carroll & Harvey Cohen, 1984. "Confidence regions for INDSCAL using the jackknife and bootstrap techniques," Psychometrika, Springer, vol. 49(4), pages 475-491, December.
- Groenen, P.J.F. & Velden, M. van de, 2004. "Multidimensional scaling," Econometric Institute Report EI 2004-15, Erasmus University Rotterdam, Econometric Institute.
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