Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering
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Author
Publication
2001 - Springer Netherlands, Dordrecht, Netherlands
Language
English
Word Count
71,750 words, Guess
Page Count
287 pages
Physical Format
[electronic resource] /
Identifiers
- Open LibraryOL27033466M
- ISBN-139789048157754
- ISBN-109048157757
- OCLC Control Number851363664
Classifications
- DDC511.3
- LCCQA8.9-10.3
Description
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.
Subjects
Series Statement
- International Series in Intelligent Technologies -- 17
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