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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. 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.  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. 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. A new area is organization of very large document collections. The SOM is also one of the most realistic models of the biological brain functions.
This new edition includes a survey of over 2000 contemporary studies to cover the newest results; the 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.


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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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