Self-organizing Neural Networks: Recent Advances and Applications

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

9783790814170


Pages:   292
Publication Date:   September 2001
Format:   Hardback
Availability:   Out of stock   Availability explained
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Self-organizing Neural Networks: Recent Advances and Applications


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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   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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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