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Self-Organization and Associative Memory

  • Textbook
  • © 1989

Overview

Authors:
  1. Teuvo Kohonen

    1. Laboratory of Computer and Information Sciences, Helsinki University of Technology, Espoo 15, Finland

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Part of the book series: Springer Series in Information Sciences (SSINF, volume 8)

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Table of contents (10 chapters)

  1. Front Matter

    Pages I-XV
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  2. Various Aspects of Memory

    • Teuvo Kohonen
    Pages 1-29

  3. Pattern Mathematics

    • Teuvo Kohonen
    Pages 30-67

  4. Classical Learning Systems

    • Teuvo Kohonen
    Pages 68-81

  5. A New Approach to Adaptive Filters

    • Teuvo Kohonen
    Pages 82-118

  6. Self-Organizing Feature Maps

    • Teuvo Kohonen
    Pages 119-157

  7. Optimal Associative Mappings

    • Teuvo Kohonen
    Pages 158-184

  8. Pattern Recognition

    • Teuvo Kohonen
    Pages 185-209

  9. More About Biological Memory

    • Teuvo Kohonen
    Pages 210-240

  10. Notes on Neural Computing

    • Teuvo Kohonen
    Pages 241-268

  11. Optical Associative Memories

    • Teuvo Kohonen
    Pages 269-284

  12. Back Matter

    Pages 285-312
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Keywords

About this book

While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Information Sciences (IS 8), the book actually stems from Vol. 17 of the series Communication and Cybernetics (CC 17), entitled Associative Memory - A System-Theoretical Approach, which appeared in 1977. That book was the first monograph on distributed associative memories, or "content-addressable memories" as they are frequently called, especially in neural-networks research. This author, however, would like to reserve the term "content-addressable memory" for certain more traditional constructs, the memory locations of which are selected by parallel search. Such devices are discussed in Vol. 1 of the Springer Series in Information Sciences, Content-Addressable Memories. This third edition of IS 8 is rather similar to the second one. Two new discussions have been added: one to the end of Chap. 5, and the other (the L VQ 2 algorithm) to the end of Chap. 7. Moreover, the convergence proof in Sect. 5.7.2 has been revised.

Authors and Affiliations

  • Laboratory of Computer and Information Sciences, Helsinki University of Technology, Espoo 15, Finland

    Teuvo Kohonen

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