Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering
By: by Larisa Angstenberger
Series: International Series in Intelligent Technologies -- 17; International Series in Intelligent Technologies -- 17
Publisher: Springer Netherlands
Published: 2001
Place of publication: Dordrecht
Language: eng
Format: [electronic resource] /
Number of pages: 287
ISBN-13: 9789048157754; 9789401713122
Subjects: Mathematics; Computer vision; Symbolic and mathematical Logic; Artificial intelligence
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.
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