Springer Series in Information Sciences

Self-Organizing Maps

Authors: Kohonen, Teuvo

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  • ISBN 978-3-642-97966-8
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About this book

Self-Organizing Maps deals with the most popular artificial neural-network algorithm of the unsupervised-learning category, viz. the Self-Organizing Map (SOM). As this book is the main monograph on the subject, it discusses all the relevant aspects ranging from the history, motivation, fundamentals, theory, variants, advances, and applications, to the hardware of SOMs. An extensive literature survey of over 2000 contemporary studies is included. Thus, answers to the most frequently asked questions relating to this topic can be found in this volume. The subject is presented in a didactive manner and only a general theoretical background is required. The reader will be guided by the many case studies to the very frontier of modern research in this area.

Reviews

"Rarely do books come along with an information density and value of content far above average. We now have another book in this category...a marvelous tool for finding just about any information that exists regarding self-organising maps. Rarely has any subject been provided with such an index of knowledge...Kohonen has created a masterpiece. I unhesitatingly recommend it." IEEE

Table of contents (10 chapters)

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-3-642-97966-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
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Bibliographic Information

Bibliographic Information
Book Title
Self-Organizing Maps
Authors
Series Title
Springer Series in Information Sciences
Series Volume
30
Copyright
1997
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-97966-8
DOI
10.1007/978-3-642-97966-8
Series ISSN
0720-678X
Edition Number
2
Number of Pages
XVII, 426
Number of Illustrations and Tables
116 b/w illustrations, 1 illustrations in colour
Topics