Self-Organizing Maps
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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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
2001, 2001
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| Edition: | 3rd ed. 2001 |
| Series: | Springer Series in Information Sciences
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of 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