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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: statistics, signal processing, control theory, financial analyses, experimental physics, chemistry and medicine. This new edition includes a survey of over 2000 contemporary studies to cover the newest results. Case examples are provided with detailed formulae, illustrations, and tables. Further, a new chapter on software tools for SOM has been included whilst other chapters have been extended and reorganised.
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From the Back Cover
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.
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Self-Organizing Maps
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Paperback. Condition: Very Good. Since the second edition of this book came out in early 1997, the number of scientific papers published on the Self-Organizing Map (SOM) has increased from about 1500 to some 4000. Also, two special workshops dedicated to the SOM have been organized, not to mention numerous SOM sessions in neural- network conferences. In view of this growing interest it was felt desirable to make extensive revisions to this book. They are of the following nature. Statistical pattern analysis has now been approached more carefully than earlier. A more detailed discussion of the eigenvectors and eigenvalues of symmetric matrices, which are the type usually encountered in statistics, has been included in Sect. 1.1.3: also, new probabilistic concepts, such as factor analysis, have been discussed in Sect. 1.3.1. A survey of projection methods (Sect. 1.3.2) has been added, in order to relate the SOM to classical paradigms. Vector Quantization is now discussed in one main section, and derivation of the point density of the codebook vectors using the calculus of variations has been added, in order to familiarize the reader with this otherwise com- plicated statistical analysis. It was also felt that the discussion of the neural-modeling philosophy should include a broader perspective of the main issues. A historical review in Sect. 2.2, and the general philosophy in Sects. 2.3, 2.5 and 2.14 are now expected to especially help newcomers to orient themselves better amongst the profusion of contemporary neural models. Seller Inventory # 00109237240
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Self-Organizing Maps
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Springer Berlin / Heidelberg, 2000
ISBN 10: 3540679219
ISBN 13: 9783540679219
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Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail. Seller Inventory # OTV.3540679219.G
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Self-Organizing Maps
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Self-Organizing Maps: Third Edition (Springer Series in Information Sciences)
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Paperback. Condition: Used; Very Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books. Seller Inventory # 5181519
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Self-Organizing Maps
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Springer-Verlag Publishing, 2000
ISBN 10: 3540679219
ISBN 13: 9783540679219
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Seller: Salish Sea Books, Bellingham, WA, U.S.A.
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Condition: Good. 3. Good; Softcover; 3rd Edition; Moderate wear to the covers; Clean textblock edges; Light handwriting to about 20 pagesThe endpapers and text pages are all clean and unmarked; Good binding; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 2.0 lbs; 2000, Springer-Verlag Publishing; 521 pages; "Self-Organizing Maps," by Teuvo Kohonen. Seller Inventory # SKU-1140AG00106254
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Self-Organizing Maps
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Self-Organizing Maps
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paperback. Condition: New. In shrink wrap. Looks like an interesting title! Seller Inventory # Q-3540679219
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Self-Organizing Maps (Springer Series in Information Sciences Vol. 30) Teuvo Kohonen
Seller: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germany
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Condition: gut. 2001. Self-Organizing Maps (Springer Series in Information Sciences Vol. 30) In deutscher Sprache. pages. Seller Inventory # BN548803
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Self-Organizing Maps
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