Overview

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.

Full Product Details

Author:   Udo Seiffert ,  Prof. Lakhmi C. Jain
Publisher:   Physica-Verlag GmbH & Co
Imprint:   Physica-Verlag GmbH & Co
Volume:   v. 78
Weight:   0.535kg
ISBN:  

9783790814170

ISBN 10:   3790814172
Pages:   292
Publication Date:   September 2001
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

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.

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