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| Title | Self-Organizing Maps |
| Author(s) | Kohonen, Teuvo |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1997. |
| Description | XVII, 426 p : online resource |
| Abstract Note | Self-Organizing Maps deals with the most popular artificial neural-network algorithm of 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 SOMs. An extensive literature survey of over 2000 contemporary studies is included. Thus, answers to the most frequently asked questions relating to this topic can be found in this volume. The subject is presented in a didactive manner and only a general theoretical background is required. The reader will be guided by the many case studies to the very frontier of modern research in this area |
| ISBN,Price | 9783642979668 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. Biological and Medical Physics, Biophysics
3. BIOLOGICAL PHYSICS
4. BIOPHYSICS
5. Communications Engineering, Networks
6. DATA MINING
7. Data Mining and Knowledge Discovery
8. EBOOK
9. EBOOK - SPRINGER
10. ELECTRICAL ENGINEERING
11. MATHEMATICS
12. Mathematics, general
13. Neurosciences
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| Item Type | eBook |
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Circulation Data
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Call# | Status | Issued To | Return Due On | Physical Location |
| I03802 |
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