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Computational intelligence based on lattice theory

Computational intelligence based on lattice theory

Material type
단행본
Personal Author
Kaburlasos, Vassilis G. Ritter, G. X.
Title Statement
Computational intelligence based on lattice theory / Vassilis Kaburlasos, Gerhard X. Ritter (eds.).
Publication, Distribution, etc
Berlin ;   New York :   Springer ,   c2007.  
Physical Medium
xvi, 375 p. : ill. (some col.) ; 24 cm.
Series Statement
Studies in computational intelligence ,1860-949X ; v. 67
ISBN
9783540726869 (hardcover : alk. paper)
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Computational intelligence. Lattice theory.
000 00983camuu22002774a 4500
001 000045405042
005 20071205144715
008 070420s2007 gw a b 001 0 eng
010 ▼a 2007927312
020 ▼a 9783540726869 (hardcover : alk. paper)
035 ▼a (KERIS)REF000013555463
040 ▼a DLC ▼c DLC ▼d DLC ▼d 211009
050 0 0 ▼a Q342 ▼b .C654 2007
082 0 0 ▼a 006.3 ▼2 22
090 ▼a 006.3 ▼b C7387
245 0 0 ▼a Computational intelligence based on lattice theory / ▼c Vassilis Kaburlasos, Gerhard X. Ritter (eds.).
260 ▼a Berlin ; ▼a New York : ▼b Springer , ▼c c2007.
300 ▼a xvi, 375 p. : ▼b ill. (some col.) ; ▼c 24 cm.
490 0 ▼a Studies in computational intelligence , ▼x 1860-949X ; ▼v v. 67
504 ▼a Includes bibliographical references and index.
650 0 ▼a Computational intelligence.
650 0 ▼a Lattice theory.
700 1 ▼a Kaburlasos, Vassilis G.
700 1 ▼a Ritter, G. X.
945 ▼a KINS

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.3 C7387 Accession No. 121161130 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of 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.


Information Provided By: : Aladin

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