Hybrid methods in pattern recognition /

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Bibliographic Details
Imprint:River Edge, N.J. : World Scientific, ©2002.
Description:1 online resource (xii, 324 pages) : illustrations
Language:English
Series:Series in machine perception and artificial intelligence ; v. 47
Series in machine perception and artificial intelligence ; v. 47.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11201392
Hidden Bibliographic Details
Other authors / contributors:Bunke, Horst, 1949-
Kandel, Abraham.
ISBN:9812778144
9789812778147
9789810248321
9789812778147
9810248326
Digital file characteristics:data file
Notes:Includes bibliographical references.
Print version record.
Summary: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.
Other form:Print version: Hybrid methods in pattern recognition. River Edge, N.J. : World Scientific, ©2002 9810248326 9789810248321