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Self-Organizing Maps

von Kohonen, Teuvo   (Autor)

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 ...

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Produktbeschreibung

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. 

Inhaltsverzeichnis

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. 

Mehr vom Verlag:

Springer-Verlag GmbH

Mehr vom Autor:

Kohonen, Teuvo

Produktdetails

Medium: Buch
Format: Kartoniert
Seiten: XX, 501
Sprache: Englisch
Erschienen: Januar 2001
Auflage: 3. A
Maße: 235 x 157 mm
Gewicht: 755 g
ISBN-10: 3540679219
ISBN-13: 9783540679219

Bestell-Nr.: 841200 
 

LIBRI: 5415292
LIBRI-EK*: 115.49 € (23.00%)
LIBRI-VK: 160,49 €
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UVP: 2 
Warengruppe: 16360 

KNO: 05926678
KNO-EK*: 108.74 € (25.00%)
KNO-VK: 160,49 €

KNO-SAMMLUNG: Springer Series in Information Sciences Vol.30
P_ABB: 129 Abb., 22 Tab.
KNOABBVERMERK: 3rd ed. 2000. xx, 502 S. 177 SW-Abb., 1 Farbabb., 19 Tabellen. 23,5 cm
Einband: Kartoniert
Auflage: 3. A
Sprache: Englisch
Beilage(n): ,

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