Self-organizing neural networks : recent advances and applications

書誌事項

Self-organizing neural networks : recent advances and applications

Udo Seiffert, Lakhmi C. Jain, editors

(Studies in fuzziness and soft computing, v. 78)

Physica-Verlag, 2002

大学図書館所蔵 件 / 11

この図書・雑誌をさがす

注記

With 119 figures and 27 tables--T.p.

Includes bibliographical references

内容説明・目次

内容説明

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.

目次

Overture * Measures for the Organization of Self-Organizing Maps * Unsupervised Learning and Self-Organization in Networks of Spiking Neurons * Generative Probability Density Model in the Self-Organizing Map * Growing Multi-Dimensional Self-Organizing Maps for Motion Detection * Extensions and Modifications of the Kohonen-SOM and Applications in Remote Sensing Image Analysis * Modeling Speech Processing and Recognition in the Auditory System Using the Multilevel Hypermap Architecture * Algorithms for the Visualization of Large and Multivariate Data Sets * Self-Organizing Maps and Financial Forecasting: an Application * Unsupervised and Supervised Learning in Radial-Basis-Function Networks * Parallel Implementations of Self-Organizing Maps.

「Nielsen BookData」 より

関連文献: 1件中  1-1を表示

詳細情報

  • NII書誌ID(NCID)
    BA55283393
  • ISBN
    • 3790814172
  • 出版国コード
    gw
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Heidelberg ; New York
  • ページ数/冊数
    xiv, 278 p.
  • 大きさ
    24 cm
  • 親書誌ID
ページトップへ