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Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering: 17 (International Series in Intelligent Technologies) - Tapa blanda
Sinopsis
Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification.
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Críticas
`The book could be considered as a lucid, clear and well to read theoretical treatise about fuzzy dynamic pattern recognition. It is particularly commendable that Dr. Angstenberger does not stop here, but that she shows very clearly how her suggestions really work in applications.
In my view this book really presents a breakthrough in a new area of pattern recognition. It will certainly be the basis for many other research projects and real applications. I can only congratulate her to this excellent scientific and application oriented work and hope that it may be of benefit to many scientists and practitioners.'
From the foreword by H.-J. Zimmermann, Aachen, Germany, January 2001
Reseña del editor
Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialSpringer
- Año de publicación2010
- ISBN 10 9048157757
- ISBN 13 9789048157754
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas312
- Contacto del fabricanteno disponible
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Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering
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Springer Netherlands, 2010
ISBN 10: 9048157757
ISBN 13: 9789048157754
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognit. Nº de ref. del artículo: 5819629
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Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering
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Springer Netherlands Dez 2010, 2010
ISBN 10: 9048157757
ISBN 13: 9789048157754
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification. 312 pp. Englisch. Nº de ref. del artículo: 9789048157754
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Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering (International Series in Intelligent Technologies)
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Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering
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Springer Netherlands, 2010
ISBN 10: 9048157757
ISBN 13: 9789048157754
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification. Nº de ref. del artículo: 9789048157754
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Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering (International Series in Intelligent Technologies)
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Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering
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Springer Netherlands, Springer Netherlands Dez 2010, 2010
ISBN 10: 9048157757
ISBN 13: 9789048157754
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch. Nº de ref. del artículo: 9789048157754
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Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering (International Series in Intelligent Technologies)
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