Full Description
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.
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.
