International Series in Intelligent Technologies

Angstenberger, Larisa

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.

Details

Published by: Springer

Publication Date: 2010-12-05

Format: Paperback

ISBN-13: 9789048157754

DOI: 10.1007/978-94-017-1312-2

Dimensions: 235cm x155cm

Pages: 288