Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory

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106,99 

Computational Intelligence and Soft Computing Applications, Studies in Computational Intelligence 27

ISBN: 3540341692
ISBN 13: 9783540341697
Autor: Kaburlasos, Vassilis G
Verlag: Springer Verlag GmbH
Umfang: xxii, 245 S.
Erscheinungsdatum: 22.06.2006
Auflage: 1/2006
Produktform: Gebunden/Hardback
Einband: Gebunden

By ‚model‘ we mean a mathematical description of a world aspect. With the proliferation of computers a variety of modeling paradigms emerged under computational intelligence and soft computing. An advancing technology is currently fragmented due, as well, to the need to cope with different types of data in different application domains. This research monograph proposes a unified, cross-fertilizing approach for knowledge-representation and modeling based on lattice theory. The emphasis is on clustering, classification, and regression applications. It is shown how rigorous analysis and design can be pursued in soft computing using conventional (hard computing) methods. Moreover, non-Turing computation can be pursued. The material here is multi-disciplinary based on our on-going research published in major scientific journals and conferences. Experimental results by various algorithms are demonstrated extensively. Relevant work by other authors is also presented both extensively and comparatively.

Artikelnummer: 3108477 Kategorie:

Beschreibung

This research monograph proposes a unified, cross-fertilizing approach for knowledge-representation and modeling based on lattice theory. The emphasis is on clustering, classification, and regression applications. It presents novel tools and useful perspectives for effective pattern classification. The material is multi-disciplinary based on on-going research published in major scientific journals and conferences.

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