Self-Organizing Maps
โ George K. Matsopoulos (Editors)
๐ Library
๐
2010
๐ Sciyo
๐ English
โฆ LIBER โฆ
๐
Self-Organizing Maps
โ Scribed by Professor Teuvo Kohonen (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2001
- Tongue
- English
- Leaves
- 513
- Series
- Springer Series in Information Sciences 30
- Edition
- 3
- Category
- Library
โฌ Acquire This Volume
No coin nor oath required. For personal study only.
โฆ Synopsis
The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. About 4000 research articles on it have appeared in the open literature, and many industrial projects use the SOM as a tool for solving hard real-world problems. Many fields of science have adopted the SOM as a standard analytical tool: in statistics, signal processing, control theory, financial analyses, experimental physics, chemistry and medicine. The SOM solves difficult high-dimensional and nonlinear problems such as feature extraction and classification of images and acoustic patterns, adaptive control of robots, and equalization, demodulation, and error-tolerant transmission of signals in telecommunications. A new area is organization of very large document collections. Last but not least, it may be mentioned that the SOM is one of the most realistic models of the biological brain function. This new edition includes a survey of over 2000 contemporary studies to cover the newest results; case examples were provided with detailed formulae, illustrations, and tables; a new chapter on Software Tools for SOM was written, other chapters were extended or reorganized.
โฆ Table of Contents
Front Matter....Pages I-XX
Mathematical Preliminaries....Pages 1-70
Neural Modeling....Pages 71-104
The Basic SOM....Pages 105-176
Physiological Interpretation of SOM....Pages 177-189
Variants of SOM....Pages 191-243
Learning Vector Quantization....Pages 245-261
Applications....Pages 263-310
Software Tools for SOM....Pages 311-328
Hardware for SOM....Pages 329-345
An Overview of SOM Literature....Pages 347-371
Back Matter....Pages 373-501
โฆ Subjects
Statistical Physics, Dynamical Systems and Complexity;Biophysics and Biological Physics;Communications Engineering, Networks
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