Towards a Unified Modeling and Knowledge-representation Based on Lattice Theory: Computational Intelligence And Soft Computing Applications: 27 - Rilegato

Kaburlasos, Vassilis G.

 
9783540341697: Towards a Unified Modeling and Knowledge-representation Based on Lattice Theory: Computational Intelligence And Soft Computing Applications: 27

Sinossi

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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Dalla quarta di copertina

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.

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Altre edizioni note dello stesso titolo

9783642070587: Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory: Computational Intelligence and Soft Computing Applications: 27

Edizione in evidenza

ISBN 10:  3642070582 ISBN 13:  9783642070587
Casa editrice: Springer, 2010
Brossura