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Title Computational intelligence based on lattice theory / Vassilis Kaburlasos, Gerhard X. Ritter (eds.).
Imprint Berlin ; New York : Springer, 2007.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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Series Studies in Computational Intelligence, 1860-949X ; 67
Studies in computational intelligence ; 67. 1860-949X
Subject Computational intelligence.
Lattice theory.
Alt Name Kaburlasos, Vassilis G.
Ritter, G. X.
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Series Studies in Computational Intelligence, 1860-949X ; 67
Studies in computational intelligence ; 67. 1860-949X
Subject Computational intelligence.
Lattice theory.
Alt Name Kaburlasos, Vassilis G.
Ritter, G. X.
Description 1 online resource (xvi, 375 pages) : illustrations (some color).
Bibliography Note Includes bibliographical references and index.
Contents Neural Computation -- Granular Enhancement of Fuzzy ART/SOM Neural Classifiers Based on Lattice Theory -- Learning in Lattice Neural Networks that Employ Dendritic Computing -- Orthonormal Basis Lattice Neural Networks -- Generalized Lattices Express Parallel Distributed Concept Learning -- Mathematical Morphology Applications -- 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 Prediction -- Machine Learning Applications -- The Fuzzy Lattice Reasoning (FLR) Classifier for Mining Environmental Data -- Machine Learning Techniques for Environmental Data Estimation -- Application of Fuzzy Lattice Neurocomputing (FLN) in Ocean Satellite Images for Pattern Recognition -- Genetically Engineered ART Architectures -- Fuzzy Lattice Reasoning (FLR) Classification Using Similarity Measures -- Logic and Inference -- Fuzzy Prolog: Default Values to Represent Missing Information -- Valuations on Lattices: Fuzzification and its Implications -- L-fuzzy Sets and Intuitionistic Fuzzy Sets -- A Family of Multi-valued t-norms and t-conorms -- The Construction of Fuzzy-valued t-norms and t-conorms.
Summary 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.
Note Print version record.
ISBN 9783540726876
354072687X
9783540726869 (hardcover ; alk. paper)
3540726861 (hardcover ; alk. paper)
OCLC # 184904171
Additional Format Print version: Computational intelligence based on lattice theory. Berlin ; New York : Springer, 2007 9783540726869 3540726861 (DLC) 2007927312 (OCoLC)154712347