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Self-Organizing Maps [Paperback]

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Item Number 226156  
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Item description for Self-Organizing Maps by Teuvo Kohonen, Thomas S. Huang & M. R. Schroeder...

The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. 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. A new area is organization of very large document collections. The SOM is also one of the most realistic models of the biological brain functions.
This new edition includes a survey of over 2000 contemporary studies to cover the newest results; the 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.

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Item Specifications...

Pages   501
Est. Packaging Dimensions:   Length: 1" Width: 6.25" Height: 9.5"
Weight:   2.2 lbs.
Binding  Softcover
Release Date   Dec 28, 2000
Publisher   Springer
ISBN  3540679219  
ISBN13  9783540679219  

Availability  0 units.

More About Teuvo Kohonen, Thomas S. Huang & M. R. Schroeder

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Product Categories

1Books > Special Features > New & Used Textbooks > Computer Science & Information Systems > Artificial Intelligence
2Books > Special Features > New & Used Textbooks > Sciences > Biological Sciences
3Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Artificial Life
4Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > General
5Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Neural Networks
6Books > Subjects > Medicine > Basic Science > Biochemistry
7Books > Subjects > Professional & Technical > Engineering > Electrical & Electronics > Electricity Principles
8Books > Subjects > Professional & Technical > Medical > Basic Sciences > Biochemistry
9Books > Subjects > Professional & Technical > Professional Science > Biological Sciences > Biophysics
10Books > Subjects > Professional & Technical > Professional Science > Physics > General
11Books > Subjects > Reference > General
12Books > Subjects > Science > Biological Sciences > Biology > Molecular Biology
13Books > Subjects > Science > Biological Sciences > Biophysics
14Books > Subjects > Science > Physics > General

Reviews - What do customers think about Self-Organizing Maps?

I love this book.  Mar 11, 2000
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.
A very nice 'handbook' of sorts for users of SOMs.  Aug 5, 1999
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.

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