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Self-Organizing Neural Networks

Recent Advances and Applications

  • Book
  • © 2002

Overview

Editors:
  1. Udo Seiffert

    1. Faculty of Electrical Engineering, Technical Computer Science Group, University of Magdeburg, Magdeburg, Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Lakhmi C. Jain

    1. Knowledge-Based Intelligent, Engineering Systems Centre, University of South Australia, Adelaide, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • One of the most comprehensive books on SOMs
  • Contains new theoretical works and up-to-date applications written by some of the world leaders of current SOM research

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 78)

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Table of contents (11 chapters)

  1. Front Matter

    Pages I-XIV
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  2. Overture

    • Teuvo Kohonen
    Pages 1-12

  3. Measures for the Organization of Self-Organizing Maps

    • Daniel Polani
    Pages 13-44

  4. Unsupervised Learning and Self-Organization in Networks of Spiking Neurons

    • Thomas Natschläger, Berthold Ruf, Michael Schmitt
    Pages 45-73

  5. Generative Probability Density Model in the Self-Organizing Map

    • Jouko Lampinen, Timo Kostiainen
    Pages 75-94

  6. Growing Multi-Dimensional Self-Organizing Maps for Motion Detection

    • Udo Seiffert
    Pages 95-120

  7. Extensions and Modifications of the Kohonen-SOM and Applications in Remote Sensing Image Analysis

    • Thomas Villmann, Erzsébet Merényi
    Pages 121-144

  8. Modeling Speech Processing and Recognition in the Auditory System Using the Multilevel Hypermap Architecture

    • Bernd Brückner, Thomas Wesarg
    Pages 145-164

  9. Algorithms for the Visualization of Large and Multivariate Data Sets

    • Friedhelm Schwenker, Hans A. Kestler, Günther Palm
    Pages 165-183

  10. Self-Organizing Maps and Financial Forecasting: an Application

    • Marina Resta
    Pages 185-216

  11. Unsupervised and Supervised Learning in Radial-Basis-Function Networks

    • Friedhelm Schwenker, Hans A. Kestler, Günther Palm
    Pages 217-243

  12. Parallel Implementations of Self-Organizing Maps

    • Timo D. Hämäläinen
    Pages 245-278
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Keywords

About this book

The Self-Organizing Map (SOM) is one of the most frequently used architectures for unsupervised artificial neural networks. Introduced by Teuvo Kohonen in the 1980s, SOMs have been developed as a very powerful method for visualization and unsupervised classification tasks by an active and innovative community of interna­ tional researchers. A number of extensions and modifications have been developed during the last two decades. The reason is surely not that the original algorithm was imperfect or inad­ equate. It is rather the universal applicability and easy handling of the SOM. Com­ pared to many other network paradigms, only a few parameters need to be arranged and thus also for a beginner the network leads to useful and reliable results. Never­ theless there is scope for improvements and sophisticated new developments as this book impressively demonstrates. The number of published applications utilizing the SOM appears to be unending. As the title of this book indicates, the reader will benefit from some of the latest the­ oretical developments and will become acquainted with a number of challenging real-world applications. Our aim in producing this book has been to provide an up­ to-date treatment of the field of self-organizing neural networks, which will be ac­ cessible to researchers, practitioners and graduated students from diverse disciplines in academics and industry. We are very grateful to the father of the SOMs, Professor Teuvo Kohonen for sup­ porting this book and contributing the first chapter.

Editors and Affiliations

  • Faculty of Electrical Engineering, Technical Computer Science Group, University of Magdeburg, Magdeburg, Germany

    Udo Seiffert

  • Knowledge-Based Intelligent, Engineering Systems Centre, University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

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