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Self-Organizing Maps /

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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 pro...

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Bibliographic Details
Main Author: Kohonen, Teuvo
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2001.
Edition:Third edition.
Series:Springer series in information sciences ; 30.
Subjects:
Physics.
Telecommunication.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Mathematical Preliminaries
  • Neural Modeling
  • The Basic SOM
  • Physiological Interpretation of SOM
  • Variants of SOM
  • Learning Vector Quantization
  • Applications
  • Software Tools for SOM
  • Hardware for SOM
  • An Overview of SOM Literature
  • Glossary of "Neural" Terms
  • References.