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Hybrid methods in pattern recognition /

The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. A large number of different approaches have been proposed. Hybrid methods aim at combining the advantages of different paradigms within a single system. Hybrid Methods in Pattern Recognition is a co...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Bunke, Horst, 1949-, Kandel, Abraham
Formato: Electrónico eBook
Idioma:Inglés
Publicado: River Edge, N.J. : World Scientific, ©2002.
Colección:Series in machine perception and artificial intelligence ; v. 47.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. A large number of different approaches have been proposed. Hybrid methods aim at combining the advantages of different paradigms within a single system. Hybrid Methods in Pattern Recognition is a collection of articles describing recent progress in this emerging field. It covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, the combination of symbolic and s.
Descripción Física:1 online resource (xii, 324 pages) : illustrations
Bibliografía:Includes bibliographical references.
ISBN:9812778144
9789812778147