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Self-Organizing Maps [electronic resource] /
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.
| Main Authors: | , |
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| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
Berlin, Heidelberg : Springer Berlin Heidelberg,
1997
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| Subjects: | Computer science., Neurosciences., Data mining., Artificial intelligence., Mathematics., Biophysics., Biological physics., Electrical engineering., Computer Science., Artificial Intelligence (incl. Robotics)., Data Mining and Knowledge Discovery., Biophysics and Biological Physics., Communications Engineering, Networks., Mathematics, general., |
| Online Access: | http://dx.doi.org/10.1007/978-3-642-97966-8 |
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