Self-Organizing Neural Networks: Recent Advances and Applications (Studies in Fuzziness and Soft Computing)

L. C. Jain,U. Seiffert,Udo Seiffert

ISBN 10: 3790814172 / ISBN 13: 9783790814170

Verlag: Physica-Verlag HD, 2001

Beschreibung

Springer-Verlag, 2002, sehr guter Zustand, weltweiter Sofortversand aus Deutschland, Rechnung, HC.

Bestandsnummer des Verkäufers WZ-36F8-YAUQ

Bibliografische Details

• Titel: Self-Organizing Neural Networks: Recent Advances and Applications (Studies in Fuzziness and Soft Computing)
• Verlag: Physica-Verlag HD
• Erscheinungsjahr: 2001
• Sprache: Englisch
• ISBN-10: 3790814172
• ISBN-13: 9783790814170
• Einband: Hardcover
• Zustand: Gut

Über diesen Titel

Inhaltsangabe

This compilation contains new theoretical work as well as up-to-date applications contributed by some of the world leaders of current SOM research. It is a compact and vivid collection of almost all aspects of current research on Self-Organizing Maps, ranging from theoretical work, several technical and non-technical applications, numerical and implementation details on sequential and parallel hardware to self-organisation with spiking neurons. An overture, given by Teuvo Kohonen, builds a bridge from the development of the fundamentals to the many extensions, modifications and applications which have made this neural network architecture so successful.

Reseña del editor

The Self-Organizing Map (SOM) is one of the most frequently used architectures for unsupervised artificial neural networks. Introduced by Teuvo Kohonen in the 1980s, SOMs have been developed as a very powerful method for visualization and unsupervised classification tasks by an active and innovative community of interna­ tional researchers. A number of extensions and modifications have been developed during the last two decades. The reason is surely not that the original algorithm was imperfect or inad­ equate. It is rather the universal applicability and easy handling of the SOM. Com­ pared to many other network paradigms, only a few parameters need to be arranged and thus also for a beginner the network leads to useful and reliable results. Never­ theless there is scope for improvements and sophisticated new developments as this book impressively demonstrates. The number of published applications utilizing the SOM appears to be unending. As the title of this book indicates, the reader will benefit from some of the latest the­ oretical developments and will become acquainted with a number of challenging real-world applications. Our aim in producing this book has been to provide an up­ to-date treatment of the field of self-organizing neural networks, which will be ac­ cessible to researchers, practitioners and graduated students from diverse disciplines in academics and industry. We are very grateful to the father of the SOMs, Professor Teuvo Kohonen for sup­ porting this book and contributing the first chapter.