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Self-Organizing Neural Networks: Recent Advances and Applications by Udo Seiffert by Udo Seiffert; L. C Jain is a nonfiction available to read on EtoBox.

What is Self-Organizing Neural Networks: Recent Advances and Applications by Udo Seiffert about?

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 t

Who reads Self-Organizing Neural Networks: Recent Advances and Applications by Udo Seiffert?

Author

Udo Seiffert; L. C Jain

Publisher

Physica-Verlag HD : Imprint: Physica

Published

2002

Language

EN

ISBN

9783662003435

Category

nonfiction

Subjects

Science, Computer Science, Physics