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Abstract: Data Management is per se a hybrid task where the employment of heterogeneous and intelligent techniques is indispensable. In this paper, the case of fuzzy-neural hybrid systems is studied in some detail. In particular, a general fuzzy-neural model is proposed, designed, implemented and evaluated for a control application in the steel industry. (Update)
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...1992 ] for knowledge representation. This platform has been tested with success in different prototypes of hybrid systems [ Iglesias et al. 1996d; Iglesias et al. 1996b; Alexandre et al. 1996a; Alexandre et al. 1996b; Hilario et al. 1995; Schramm and Schulz, 1995; Gonz...
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BibTeX entry: (Update)
Carlos A. Iglesias, Jos'e C. Gonz'alez, and Juan R. Velasco. The role of hybrid systems in intelligent data management: the case of fuzzy/neural hybrids. In Proceedings of the Seminar on Intelligent Data Management, pages 90--104, London, UK, April 1996. UNICOM. REFERENCES 7 http://citeseer.ist.psu.edu/iglesias96role.html More
@misc{ iglesias96role,
author = "Carlos A. Iglesias and José C. González and Juan R. Velasco",
title = "The Role of Hybrid Systems in Intelligent Data Management: The Case of
Fuzzy/neural Hybrids",
text = "Carlos A. Iglesias, Jos'e C. Gonz'alez, and Juan R. Velasco. The role of
hybrid systems in intelligent data management: the case of fuzzy/neural
hybrids. In Proceedings of the Seminar on Intelligent Data Management, pages
90--104, London, UK, April 1996. UNICOM. REFERENCES 7",
year = "1996",
url = "citeseer.ist.psu.edu/iglesias96role.html" }
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