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Self-Organizing Maps

✍ Scribed by Professor Teuvo Kohonen (auth.)


Publisher
Springer Berlin Heidelberg
Year
1997
Tongue
English
Leaves
437
Series
Springer Series in Information Sciences 30
Category
Library

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✦ Synopsis


Self-Organizing Maps deals with the most popular artificial neural-network algorithm of 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 SOMs. An extensive literature survey of over 2000 contemporary studies is included. Thus, answers to the most frequently asked questions relating to this topic can be found in this volume. The subject is presented in a didactive manner and only a general theoretical background is required. The reader will be guided by the many case studies to the very frontier of modern research in this area.

✦ Table of Contents


Front Matter....Pages I-XVII
Mathematical Preliminaries....Pages 1-58
Justification of Neural Modeling....Pages 59-83
The Basic SOM....Pages 85-144
Physiological Interpretation of SOM....Pages 145-155
Variants of SOM....Pages 157-201
Learning Vector Quantization....Pages 203-217
Applications....Pages 219-260
Hardware for SOM....Pages 261-276
An Overview of SOM Literature....Pages 277-301
Glossary of β€œNeural” Terms....Pages 303-331
Back Matter....Pages 333-428

✦ Subjects


Biophysics and Biological Physics;Communications Engineering, Networks;Mathematics, general


πŸ“œ SIMILAR VOLUMES


Self-Organizing Maps
✍ Professor Teuvo Kohonen (auth.) πŸ“‚ Library πŸ“… 2001 πŸ› Springer-Verlag Berlin Heidelberg 🌐 English

<p>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

Self-Organizing Maps
✍ Professor Teuvo Kohonen (auth.) πŸ“‚ Library πŸ“… 1995 πŸ› Springer Berlin Heidelberg 🌐 English

The <B>Self-Organizing Map (SOM) </B>algorithm was introduced by the author in 1981. Its theory and many applications form one of the major approaches to the contemporary artificial neural networks field, and new technolgies have already been based on it. The most important practical applications ar

Self-Organizing Maps
✍ Teuvo Kohonen πŸ“‚ Library πŸ“… 1997 πŸ› Springer 🌐 English

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, experimenta