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

Vassilis G. Kaburlasos

ISBN 10: 3540341692 / ISBN 13: 9783540341697

Editore: Springer, Berlin, Springer, 2006

Riguardo questo articolo

Neuware - 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.

Codice articolo 9783540341697

Dati bibliografici

• Titolo: Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory : Computational Intelligence and Soft Computing Applications
• Editore: Springer, Berlin, Springer
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 3540341692
• ISBN 13: 9783540341697
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 297 L x 238 A x 45 P (millimetri) 297 millimetri di larghezza per 238 millimetri di altezza per 45 millimetri di profondità
• Peso: 530 grammi

Descrizione articolo

Riassunto

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.

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.