BIBLIOMETRIC MAPPING OF THE COMPUTATIONAL INTELLIGENCE FIELD

Author:

VAN ECK NEES JAN1,WALTMAN LUDO1

Affiliation:

1. Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR Rotterdam, The Netherlands

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Reference21 articles.

1. The neural net of neural network research

2. Visualizing knowledge domains

3. E. C. M. Noyons, Handbook of Quantitative Science and Technology Research, eds. H. F. Moed, W. Glänzel and U. Schmoch (Kluwer Academic Publishers, 2004) pp. 237–255.

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