Self-Organizing Neural Networks: Recent Advances and Applications

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 ...

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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.

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Product Details

  • ISBN-13: 9783662003435
  • Publisher: Physica-Verlag HD
  • Publication date: 4/30/2014
  • Series: Studies in Fuzziness and Soft Computing Series
  • Edition description: Softcover reprint of the original 1st ed. 2002
  • Pages: 278
  • Product dimensions: 6.14 (w) x 9.21 (h) x 0.62 (d)

Table of Contents

Preface
Contributors
1 Overture 1
2 Measures for the Organization of Self-Organizing Maps 13
3 Unsupervised Learning and Self-Organization in Networks of Spiking Neurons 45
4 Generative Probability Density Model in the Self-Organizing Map 75
5 Growing Multi-Dimensional Self-Organizing Maps for Motion Detection 95
6 Extensions and Modifications of the Kohonen-SOM and Applications in Remote Sensing Image Analysis 121
7 Modeling Speech Processing and Recognition in the Auditory System Using the Multilevel Hypermap Architecture 145
8 Algorithms for the Visualization of Large and Multivariate Data Sets 165
9 Self-Organizing Maps and Financial Forecasting: an Application 185
10 Unsupervised and Supervised Learning in Radial-Basis-Function Networks 217
11 Parallel Implementations of Self-Organizing Maps 245
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