Self-Organizing Maps [Paperback]

Teuvo Kohonen (Author)

Book Description

ISBN-10: 3540679219 | ISBN-13: 978-3540679219 | Publication Date: December 28, 2000 | Edition: 3rd

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.

Editorial Reviews

Review

"The portions of the book discussing the self-organizing map are exquisite...The book ends with an overview of the self-organizing map literature and a glossary. I have never seen a literature overview of this quality, comprehensiveness, and refinement...The result is a marvelous tool for finding just about any information that exists regarding self-organizing maps. Rarely has any subject been provided with such an index of knowledge. The glossary is excellent and covers a number of terms not discussed in the text. This glossary will be of great use to students just learning the jargon, as well as to more experienced individuals who have not had the luxury of learning the terminology gradually as it developed over the past three decades. In summary, Kohonen has created a masterpiece. I unhesitatingly recommend it. Everyone, from the most experienced researchers and practitioners to rank beginners, will benefit from this book." -- IEEE Transactions on Neural Networks --This text refers to an alternate Paperback edition.

From the Back Cover

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: in statistics, signal processing, control theory, financial analyses, experimental physics, chemistry and medicine. The SOM solves difficult high-dimensional and nonlinear problems such as feature extraction and classification of images and acoustic patterns, adaptive control of robots, and equalization, demodulation, and error-tolerant transmission of signals in telecommunications. A new area is organization of very large document collections. Last but not least, it may be mentioned that the SOM is one of the most realistic models of the biological brain function. This new edition includes a survey of over 2000 contemporary studies to cover the newest results; case examples were provided with detailed formulae, illustrations, and tables; a new chapter on Software Tools for SOM was written, other chapters were extended or reorganized.

Product Details

• Paperback: 521 pages
• Publisher: Springer; 3rd edition (December 28, 2000)
• Language: English
• ISBN-10: 3540679219
• ISBN-13: 978-3540679219
• Product Dimensions: 9.2 x 6.1 x 1.3 inches
• Shipping Weight: 1.8 pounds (View shipping rates and policies)
• Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #1,119,785 in Books (See Top 100 in Books)
  • #37 in Books > Computers & Technology > Computer Science > Artificial Intelligence > Artificial Life

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Customer Reviews

Most Helpful Customer Reviews

13 of 14 people found the following review helpful:

4.0 out of 5 stars A very nice 'handbook' of sorts for users of SOMs., August 4, 1999

By 

[e-mail] (Maine, USA) - See all my reviews

This review is from: Self-Organizing Maps (2nd ed)(Springer Series in Information Sciences, 30) (Paperback)

The material is presented clearly and comprehensively from the unique perspective of the SOM originator himself. The inclusion of exhaustive references is particularly useful for the prospective researcher, but, at the risk of sounding ungrateful, I'm curious as to why paper titles were not included in the citations? Overall though, a very good reference.

7 of 10 people found the following review helpful:

5.0 out of 5 stars I love this book., March 10, 2000

By A Customer

This review is from: Self-Organizing Maps (2nd ed)(Springer Series in Information Sciences, 30) (Paperback)

This is a wonderfully written, and excellent book. It assumes only minimal background knowledge but imparts a great deal of insight. I love the way that the author describes this area and the connections with deep and beautiful mathematics.