Self-organizing maps
Author(s)
Bibliographic Information
Self-organizing maps
（Springer series in information sciences, 30）
Springer, c1997
2nd ed
- : pbk
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
This book deals with the most popular artificial neural network algorithm in 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 the SOMs. An extensive literature survey of over 2000 contemporary studies is also included. Thus, answers to the most frequently asked questions relating to this topic can be found in this volume.
Table of Contents
From the contents: Mathematical Preliminaries.- Justification of Neural Modeling.- The Basic SOM.- Pysiological Interpretation of SOM.- Variants of SOM.- Learning Vector Quantization.- Applications.- Hardware for SOM.- An Overview of SOM Literature.- Glossary of 'Neural' Terms.- References.
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