Springer Series in Information Sciences

Self-Organizing Maps

Authors: Kohonen, Teuvo

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  • ISBN 978-3-642-97610-0
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About this book

The Self-Organizing Map (SOM) algorithm was introduced by the author in 1981. Its theory and many applications form one of the major approaches to the contemporary artificial neural networks field, and new technolgies have already been based on it. The most important practical applications are in exploratory data analysis, pattern recognition, speech analysis, robotics, industrial and medical diagnostics, instrumentation, and control, and literally hundreds of other tasks. In this monograph the mathematical preliminaries, background, basic ideas, and implications are expounded in a clear, well-organized form, accessible without prior expert knowledge. Still the contents are handled with theoretical rigor.

Table of contents (10 chapters)

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-3-642-97610-0
  • 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
1995
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-97610-0
DOI
10.1007/978-3-642-97610-0
Series ISSN
0720-678X
Edition Number
1
Number of Pages
XVI, 362
Number of Illustrations and Tables
1 illustrations in colour
Topics