Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
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 tool: 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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Self-Organizing Maps (Springer Series in Information Sciences)
Edité par
Springer, 1997
ISBN 10 : 3540620176
ISBN 13 : 9783540620174
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Paperback
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Paperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G3540620176I4N00
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Self-Organizing Maps: Second edition (Springer Series in Information Sciences)
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Springer-Verlag, 1997
ISBN 10 : 3540620176
ISBN 13 : 9783540620174
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Vendeur : AwesomeBooks, Wallingford, Royaume-Uni
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Paperback. Etat : Very Good. Self-Organizing Maps: Second edition (Springer Series in Information Sciences) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . N° de réf. du vendeur 7719-9783540620174
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Self-Organizing Maps: Second edition (Springer Series in Information Sciences)
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Springer-Verlag 01/01/1997, 1997
ISBN 10 : 3540620176
ISBN 13 : 9783540620174
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Paperback
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Paperback. Etat : Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee. N° de réf. du vendeur 6545-9783540620174
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Self-Organizing Maps
Edité par
Springer-Verlag, 1997
ISBN 10 : 3540620176
ISBN 13 : 9783540620174
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Couverture souple
Vendeur : Anybook.com, Lincoln, Royaume-Uni
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Etat : Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9783540620174. N° de réf. du vendeur 8959807
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Self-Organizing Maps (Springer Series in Information Sciences)
Edité par
Springer, 1997
ISBN 10 : 3540620176
ISBN 13 : 9783540620174
Ancien ou d'occasion
Soft cover
Vendeur : Leopolis, Kraków, Pologne
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Soft cover. Etat : Fine. 8vo (23.5 cm), XVII, 426 pp. Printed wrappers. A seminal work that unveils the groundbreaking concept of self-organizing maps (SOMs) and their profound impact on the field of artificial intelligence. In this influential book, Kohonen introduces an innovative neural network architecture that mimics the self-organizing principles of the human brain, enabling machines to efficiently analyze and classify complex data patterns. Kohonen's work revolutionizes the field of unsupervised learning by presenting a powerful algorithmic approach that enables machines to learn and adapt without explicit guidance. The self-organizing map algorithm constructs a low-dimensional representation of high-dimensional data, effectively capturing the inherent structure and relationships within the input space. By arranging data samples on a map-like grid, SOMs reveal hidden patterns, clusters, and topological relationships, facilitating data exploration and visualization. The book provides a comprehensive introduction to SOMs, offering a clear and accessible explanation of the underlying principles, mathematical foundations, and algorithmic implementation. Kohonen's intuitive and lucid writing style guides readers through the intricate details of SOMs, making the concepts approachable for both novices and experts in the field. Moreover, "Self-Organizing Maps" showcases the broad range of applications where SOMs have proven invaluable. From data mining and pattern recognition to image and speech processing, Kohonen demonstrates the versatility of SOMs in various domains. The book illustrates real-world case studies and practical examples, emphasizing the potential of SOMs as a powerful tool for solving complex problems across multiple disciplines. N° de réf. du vendeur 008332
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