Abstract
The syntactic approach to classification and pattern recognition1 is based on representation of objects of recognition as combination of letters from finite or infinite alphabet.
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The results described in this chapter have been obtained in 1991–1996 by A. Gvishiani and M. Zhizhin (Schmidt Institute of Physics of the Earth in Moscow), J. Bonnin (Institut de Physique du Globe de Strasbourg) and B. Mohammadioun (Cea, France). The project has been funded by Cea, France and European Mediterranean Seismological Centre which are friendly acknowledged.
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© 2002 Springer-Verlag Berlin Heidelberg
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Gvishiani, A., Dubois, J.O. (2002). Dynamic and Fuzzy Logic Clustering and Classification. In: Artificial Intelligence and Dynamic Systems for Geophysical Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04933-4_1
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DOI: https://doi.org/10.1007/978-3-662-04933-4_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07757-9
Online ISBN: 978-3-662-04933-4
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