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Self-organizing maps

Author: Teuvo Kohonen
Publisher: Berlín : Springer, 2001.
Series: Springer series in information sciences, 30.
Edition/Format:   Print book : English : 3rd edView all editions and formats
Summary:
Self-Organizing Maps (SOM), is the most popular artificial neural network algorithm for solving hard real-world problems. SOM is adapted as a standard analytical tool: statistics, signal processing, control theory, financial analysis and model of the biological brain function.
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Document Type: Book
All Authors / Contributors: Teuvo Kohonen
ISBN: 3540679219 9783540679219
OCLC Number: 642351023
Notes: Índice.
Description: XX, 501 p. : il. ; 23 cm.
Contents: 1. Mathematical Preliminaries.- 2. Neural Modeling.- 3. The Basic SOM.- 4. Physiological Interpretation of SOM.- 5. Variants of SOM.- 6. Learning Vector Quantization.- 7. Applications.- 8. Software Tools for SOM.- 9. Hardware for SOM.- 10. An Overview of SOM Literature.- 11. Glossary of "Neural" Terms.- References.
Series Title: Springer series in information sciences, 30.
Responsibility: Teuvo Kohonen.

Abstract:

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  Read more...

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