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Springer Series in Information Sciences

Self-Organizing Maps

Authors: Kohonen, Teuvo

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eBook $149.00
price for USA (gross)
valid through October 16, 2017
  • ISBN 978-3-642-56927-2
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  • Included format: PDF
  • ebooks can be used on all reading devices
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Softcover $199.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-540-67921-9
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  • Usually dispatched within 3 to 5 business days.
About this book

The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. About 4000 research articles on it have appeared in the open literature, and many industrial projects use the SOM as a tool for solving hard real-world problems. Many fields of science have adopted the SOM as a standard analytical tool: in statistics, signal processing, control theory, financial analyses, experimental physics, chemistry and medicine. The SOM solves difficult high-dimensional and nonlinear problems such as feature extraction and classification of images and acoustic patterns, adaptive control of robots, and equalization, demodulation, and error-tolerant transmission of signals in telecommunications. A new area is organization of very large document collections. Last but not least, it may be mentioned that the SOM is one of the most realistic models of the biological brain function. This new edition includes a survey of over 2000 contemporary studies to cover the newest results; case examples were provided with detailed formulae, illustrations, and tables; a new chapter on Software Tools for SOM was written, other chapters were extended or reorganized.

Table of contents (10 chapters)

Buy this book

eBook $149.00
price for USA (gross)
valid through October 16, 2017
  • ISBN 978-3-642-56927-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $199.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-540-67921-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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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
2001
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-56927-2
DOI
10.1007/978-3-642-56927-2
Softcover ISBN
978-3-540-67921-9
Series ISSN
0720-678X
Edition Number
3
Number of Pages
XX, 502
Number of Illustrations and Tables
177 b/w illustrations, 1 illustrations in colour
Topics