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...
| Други автори: | Bunke, Horst., Kandel, Abraham. |
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| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
River Edge, N.J. :
World Scientific,
℗♭2002.
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| Серия: |
Series in machine perception and artificial intelligence ;
v. 47. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=210636 |
| Подобни документи: |
Print version::
Hybrid methods in pattern recognition. |
| Резюме: |
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. |
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| Физически характеристики: |
1 online resource (xii, 324 pages) : illustrations. |
| Библиография: |
Includes bibliographical references. |
| ISBN: |
9812778144 9789812778147 |