Self-Organizing Maps
Seiten
1997
|
2., nd ed.
Springer Berlin (Verlag)
978-3-540-62017-4 (ISBN)
Springer Berlin (Verlag)
978-3-540-62017-4 (ISBN)
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This book deals with the most popular artificial neural network algorithm in the unsupervised-learning category, viz. the self-organizing map (SOM). As this book is the main monograph on the subject, it discusses all the relevant aspects ranging from the history, motivation, fundamentals, theory, variants, advances, and applications, to the hardware of the SOMs. An extensive literature survey of over 2000 contemporary studies is also included. Thus, answers to the most frequently asked questions relating to this topic can be found in this volume.
From the contents: Mathematical Preliminaries.- Justification of Neural Modeling.- The Basic SOM.- Pysiological Interpretation of SOM.- Variants of SOM.- Learning Vector Quantization.- Applications.- Hardware for SOM.- An Overview of SOM Literature.- Glossary of 'Neural' Terms.- References.
| Sprache | englisch |
|---|---|
| Maße | 155 x 235 mm |
| Gewicht | 680 g |
| Einbandart | Paperback |
| Schlagworte | Adaptive and Learning Networks • Adaptive und Lernende Netze • cluster analysis • Klassifikator • Klusteranalyse • Lernen ohne Lehrer • Mustererkennung • Neural networks • Neuronale Netze • pattern recognition • Selbstlernen • Selbstorganisierende Karten • Self-Organizing Maps • Springer Series in Information Sciences; Vol 30 • Unsupervised Learning |
| ISBN-10 | 3-540-62017-6 / 3540620176 |
| ISBN-13 | 978-3-540-62017-4 / 9783540620174 |
| Zustand | Neuware |
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