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Self-organizing maps

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  • 521 Seiten
  • 19 Lesestunden

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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 problems. Many fields of science have adopted the SOM as a standard analytical 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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Self-organizing maps, Teuvo Kohonen

Sprache
Erscheinungsdatum
2000
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Titel
Self-organizing maps
Sprache
Englisch
Autor*innen
Teuvo Kohonen
Verlag
Springer
Erscheinungsdatum
2000
Einband
Paperback
Seitenzahl
521
ISBN10
3540679219
ISBN13
9783540679219
Reihe
Schlagwörter
Sachbücher
Bewertung
4,35 von 5 Sternen
Beschreibung
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 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.