ENGLISH

Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering

By Larisa Angstenberger (auth.)

Book information

Publisher
Springer Netherlands
Year
2001
ISBN
978-90-481-5775-4, 978-94-017-1312-2
DOI
10.1007/978-94-017-1312-2
Language
english
Format
PDF
Filesize
10 MB (9978740 bytes)
Series
International Series in Intelligent Technologies 17
Edition
1
Pages
288\302
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Mathematical Logic and Foundations; Artificial Int

Description

Dynamic Fuzzy Pattern Recognition with Applications to Finance andEngineering 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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