Computational Intelligence Based on Lattice Theory / Studies in Computational Intelligence Bd.67 (PDF)
The emergence of lattice theory within the field of computational intelligence (CI) is partially due to its proven effectiveness in neural computation. Moreover, lattice theory has the potential to unify a number of diverse concepts and aid in the...
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The emergence of lattice theory within the field of computational intelligence (CI) is partially due to its proven effectiveness in neural computation. Moreover, lattice theory has the potential to unify a number of diverse concepts and aid in the cross-fertilization of both tools and ideas within the numerous subfields of CI. The compilation of this eighteen-chapter book is an initiative towards proliferating established knowledge in the hope to further expand it. This edited book is a balanced synthesis of four parts emphasizing, in turn, neural computation, mathematical morphology, machine learning, and (fuzzy) inference/logic. The articles here demonstrate how lattice theory may suggest viable alternatives in practical clustering, classification, pattern analysis, and regression applications.
- 2007, 2007, 375 Seiten, Englisch
- Herausgegeben: Vassilis G. Kaburlasos, Gerhard X. Ritter
- Verlag: Springer-Verlag GmbH
- ISBN-10: 354072687X
- ISBN-13: 9783540726876
- Erscheinungsdatum: 26.06.2007
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- Größe: 21 MB
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