书目名称 | Self-Organizing Neural Networks |
副标题 | Recent Advances and |
编辑 | Udo Seiffert,Lakhmi C. Jain |
视频video | |
概述 | One of the most comprehensive books on SOMs.Contains new theoretical works and up-to-date applications written by some of the world leaders of current SOM research |
丛书名称 | Studies in Fuzziness and Soft Computing |
图书封面 |  |
描述 | 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 |
出版日期 | Book 2002 |
关键词 | Extension; Kohonen Map; algorithms; artificial intelligence; artificial neural network; cognition; hardwar |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-7908-1810-9 |
isbn_softcover | 978-3-662-00343-5 |
isbn_ebook | 978-3-7908-1810-9Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
issn_series | 1434-9922 |
copyright | Springer-Verlag Berlin Heidelberg 2002 |