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Self-Organizing Maps
by T. Kohonen and Teuvo Kohonen


Overview - 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.  Read more...

 
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More About Self-Organizing Maps by T. Kohonen; Teuvo Kohonen
 
 
 
Overview
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: statistics, signal processing, control theory, financial analyses, experimental physics, chemistry and medicine. This new edition includes a survey of over 2000 contemporary studies to cover the newest results. Case examples are provided with detailed formulae, illustrations, and tables. Further, a new chapter on software tools for SOM has been included whilst other chapters have been extended and reorganised.


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Details
  • ISBN-13: 9783540679219
  • ISBN-10: 3540679219
  • Publisher: Springer
  • Publish Date: November 2000
  • Page Count: 502

Series: Springer Series in Information Sciences #22

Related Categories

Books > Computers & Internet > Neural Networks
Books > Computers & Internet > Intelligence (AI) & Semantics

 
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