Description:
Springer-Verlag, 1997. 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
Stock Photo: Cover May Be Different
Details
- Title Self-Organizing Maps
- Author Teuvo Kohonen
- Binding Paperback
- Edition Second Edition,
- Pages 426
- Volumes 1
- Language ENG
- Publisher Springer, New Haven, CT
- Date 1997
- Illustrated Yes
- ISBN 9783540620174 / 3540620176
- Weight 1.49 lbs (0.68 kg)
- Dimensions 9.34 x 6.17 x 0.73 in (23.72 x 15.67 x 1.85 cm)
- Library of Congress Catalog Number 96053987
- Dewey Decimal Code 006.32
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Stock Photo: Cover May Be Different
Self-Organizing Maps
by Kohonen, T.
- Used
- Paperback
- Condition
- Used
- Binding
- Paperback
- ISBN 10 / ISBN 13
- 9783540620174 / 3540620176
- Quantity Available
- 1
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Lincoln, Lincolnshire, United Kingdom
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Stock Photo: Cover May Be Different
Self-Organizing Maps (Springer Series in Information Sciences)
by Teuvo Kohonen
- Used
- Good
- Paperback
- Condition
- Used - Good
- Binding
- Paperback
- ISBN 10 / ISBN 13
- 9783540620174 / 3540620176
- Quantity Available
- 1
- Seller
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Newport Coast, California, United States
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SGD 70.25FREE shipping to USA
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Description:
paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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SGD 70.25
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Self-Organizing Maps (Springer Series in Information Sciences)
by Kohonen, Teuvo
- Used
- Fine
- Paperback
- Condition
- Used - Fine
- Binding
- Paperback
- ISBN 10 / ISBN 13
- 9783540620174 / 3540620176
- Quantity Available
- 1
- Seller
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Kraków, Poland
- Item Price
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SGD 152.68SGD 22.05 shipping to USA
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Description:
Springer, 1997 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…
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SGD 152.68
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