Computational intelligence based on lattice theory / Max Ritter (2007)

Computational intelligence based on lattice theory [document électronique] / Max Ritter, Auteur . - Berlin ; London ; Cham : Springer, 2007.
ISBN : 978-3-540-72686-9
Langues : Anglais (eng)

Mots-clés :	Computational Intelligence - Lattice Theory
Index. décimale :	681.3 Appareils et matériel de traitement de données. Informatique
Résumé :	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 document is an initiative towards proliferating established knowledge in the hope to further expand it. This edited document 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 iA practical clustering, classification, pattern analysis, and regression applications.
Note de contenu :	Front matter Granular Enhancement of Fuzzy ART/SOM Neural Classifiers Based on Lattice Theory full access Learning in Lattice Neural Networks that Employ Dendritic Computing Orthonormal Basis Lattice Neural Networks # full accessfull access Generalized Lattices Express Parallel Distributed Concept Learning Noise Masking for Pattern Recall Using a Single Lattice Matrix Associative Memory Convex Coordinates From Lattice Independent Sets for Visual Pattern Recognition A Lattice-Based Approach to Mathematical Morphology for Greyscale and Colour Images Morphological and Certain Fuzzy Morphological Associative Memories for Classification and Predictio