Inhaltsangabe
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.
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Críticas
"Rarely do books come along with an information density and value of content far above average. We now have another book in this category...a marvelous tool for finding just about any information that exists regarding self-organising maps. Rarely has any subject been provided with such an index of knowledge...Kohonen has created a masterpiece. I unhesitatingly recommend it." IEEE
Reseña del editor
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.
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Suchergebnisse für nSELF ORGANIZING MAPS.: Second edition: 30 (Springer...
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Self-Organizing Maps (Springer Series in Information Sciences)
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Springer (edition 2nd ed.), 1997
ISBN 10: 3540620176
ISBN 13: 9783540620174
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Paperback. Zustand: Very Good. 2nd ed. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Bestandsnummer des Verkäufers 3540620176-8-1
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Self-Organizing Maps
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Zustand: 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. Bestandsnummer des Verkäufers 8959807
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Self-Organizing Maps: Second edition (Springer Series in Information Sciences, 30, Band 30)
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paperback. Zustand: Befriedigend. 448 Seiten; 9783540620174.4 Gewicht in Gramm: 1. Bestandsnummer des Verkäufers 827252
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Self-Organizing Maps (Springer Series in Information Sciences)
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Soft cover. Zustand: 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. Bestandsnummer des Verkäufers 008332
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