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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Est. Packaging Dimensions: Length: 1" Width: 6.25" Height: 9.5" Weight: 2.2 lbs.
Release Date Dec 28, 2000
ISBN 3540679219 ISBN13 9783540679219
Availability 88 units. Availability accurate as of Jan 20, 2017 05:28.
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More About Teuvo Kohonen, Thomas S. Huang & M. R. Schroeder
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.