Ebook: Self-Organizing Maps
Author: Teuvo Kohonen
- Genre: Computers // Cybernetics: Artificial Intelligence
- Tags: Biophysics and Biological Physics, Communications Engineering Networks, Mathematics general
- Series: Springer Series in Information Sciences 30
- Year: 1997
- Publisher: Springer
- City: Berlin; New York
- Edition: 3
- Language: English
- djvu
The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. 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. A new area is organization of very large document collections. The SOM is also one of the most realistic models of the biological brain functions.This new edition includes a survey of over 2000 contemporary studies to cover the newest results; the 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.
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