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Self-Organizing Maps | |||||
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Rok: 2000
Hodnocení: AnotaceThe 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. Some praise for previous editions: "The portions of the book discussing the self-organizing map are exquisite...The book ends with an overview of the self-organizing map literature and a glossary. I have never seen a literature overview of this quality, comprehensiveness, and refinement...The result is a marvelous tool for finding just about any information that exists regarding self-organizing maps. Rarely has any subject been provided with such an index of knowledge. The glossary is excellent and covers a number of terms not discussed in the text. This glossary will be of great use to students just learning the jargon, as well as to more experienced individuals who have not had the luxury of learning the terminology gradually as it developed over the past three decades. In summary, Kohonen has created a masterpiece. I unhesitatingly recommend it. Everyone, from the most experienced researchers and practitioners to rank beginners, will benefit from this book." -IEEE Transactions on Neural Networks Dostupné zdroje
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