Studies in Computational Intelligence

Computational Intelligence Based on Lattice Theory

Editors: Kaburlasos, Vassilis G., Ritter, Gerhard X. (Eds.)

  • Presents new understanding in Computational Intelligence Based on Lattice Theory
  • Concentrates on neural computation, mathematical morphology, machine learning, and (fuzzy) inference/logic
  • The book is the outcome of a special session held during WCCI 2006
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eBook $199.00
price for USA in USD (gross)
  • ISBN 978-3-540-72687-6
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Hardcover $229.99
price for USA in USD
  • ISBN 978-3-540-72686-9
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  • This title is currently reprinting. You can pre-order your copy now.
Softcover $259.00
price for USA in USD
  • ISBN 978-3-642-09174-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

Table of contents (18 chapters)

  • Granular Enhancement of Fuzzy ART/SOM Neural Classifiers Based on Lattice Theory

    Kaburlasos, Prof. Vassilis G.

    Pages 3-23

  • Learning in Lattice Neural Networks that Employ Dendritic Computing

    Ritter, Professor Dr. Gerhard X. (et al.)

    Pages 25-44

  • Orthonormal Basis Lattice Neural Networks

    Barmpoutis, Angelos (et al.)

    Pages 45-58

  • Generalized Lattices Express Parallel Distributed Concept Learning

    Healy, Michael J. (et al.)

    Pages 59-77

  • Noise Masking for Pattern Recall Using a Single Lattice Matrix Associative Memory

    Urcid, Gonzalo (et al.)

    Pages 81-100

Buy this book

eBook $199.00
price for USA in USD (gross)
  • ISBN 978-3-540-72687-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.99
price for USA in USD
  • ISBN 978-3-540-72686-9
  • Free shipping for individuals worldwide
  • This title is currently reprinting. You can pre-order your copy now.
Softcover $259.00
price for USA in USD
  • ISBN 978-3-642-09174-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Computational Intelligence Based on Lattice Theory
Editors
  • Vassilis G. Kaburlasos
  • Gerhard X. Ritter
Series Title
Studies in Computational Intelligence
Series Volume
67
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-72687-6
DOI
10.1007/978-3-540-72687-6
Hardcover ISBN
978-3-540-72686-9
Softcover ISBN
978-3-642-09174-2
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XVI, 375
Topics