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- catalog abstract "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.".
- catalog contributor b10431558.
- catalog created "c1997.".
- catalog date "1997".
- catalog date "c1997.".
- catalog dateCopyrighted "c1997.".
- catalog description "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.".
- catalog description "Includes bibliographical references (p. [333]-412) and index.".
- catalog description "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.".
- catalog extent "xvii, 426 p. :".
- catalog hasFormat "Self-organizing maps.".
- catalog identifier "3540620176 (softcover : acid-free paper)".
- catalog isFormatOf "Self-organizing maps.".
- catalog isPartOf "Springer series in information sciences, 0720-678X ; 30".
- catalog issued "1997".
- catalog issued "c1997.".
- catalog language "eng".
- catalog publisher "Berlin ; New York : Springer,".
- catalog relation "Self-organizing maps.".
- catalog subject "006.3/2 21".
- catalog subject "Mathematics.".
- catalog subject "Neural networks (Computer science)".
- catalog subject "Physics.".
- catalog subject "QA76.87 .K65 1997".
- catalog subject "Self-organizing maps.".
- catalog subject "Self-organizing systems.".
- catalog subject "Telecommunication.".
- catalog tableOfContents "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.".
- catalog title "Self-organizing maps / Teuvo Kohonen.".
- catalog type "text".