Self-Organization and Associative Memory

  • Teuvo Kohonen

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

Table of contents

  1. Front Matter
    Pages I-XV
  2. Teuvo Kohonen
    Pages 1-29
  3. Teuvo Kohonen
    Pages 30-67
  4. Teuvo Kohonen
    Pages 68-81
  5. Teuvo Kohonen
    Pages 82-118
  6. Teuvo Kohonen
    Pages 119-157
  7. Teuvo Kohonen
    Pages 158-184
  8. Teuvo Kohonen
    Pages 185-209
  9. Teuvo Kohonen
    Pages 210-240
  10. Teuvo Kohonen
    Pages 241-268
  11. Teuvo Kohonen
    Pages 269-284
  12. Back Matter
    Pages 285-312

About this book

Introduction

Two significant things have happened since the writing of the first edition in 1983. One of them is recent arousal of strong interest in general aspects of "neural computing", or "neural networks", as the previous neural models are nowadays called. The incentive, of course, has been to develop new com­ puters. Especially it may have been felt that the so-called fifth-generation computers, based on conventional logic programming, do not yet contain in­ formation processing principles of the same type as those encountered in the brain. All new ideas for the "neural computers" are, of course, welcome. On the other hand, it is not very easy to see what kind of restrictions there exist to their implementation. In order to approach this problem systematically, cer­ tain lines of thought, disciplines, and criteria should be followed. It is the pur­ pose of the added Chapter 9 to reflect upon such problems from a general point of view. Another important thing is a boom of new hardware technologies for dis­ tributed associative memories, especially high-density semiconductor circuits, and optical materials and components. The era is very close when the parallel processors can be made all-optical. Several working associative memory archi­ tectures, based solely on optical technologies, have been constructed in recent years. For this reason it was felt necessary to include a separate chapter (Chap. 10) which deals with the optical associative memories. Part of its con­ tents is taken over from the first edition.

Keywords

algorithms biological biology biophysics classification cluster clustering information processing information science learning linear regression mathematical psychology mathematics self-organization simulation

Authors and affiliations

  • Teuvo Kohonen
    • 1
  1. 1.Laboratory of Computer and Information SciencesHelsinki University of TechnologyEspoo 15Finland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-00784-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 1988
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-18314-3
  • Online ISBN 978-3-662-00784-6
  • Series Print ISSN 0720-678X
  • About this book