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Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering

Larisa Angstenberger

$214.95   $172.08

Hardback

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English
Springer
31 October 2001
This text focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. It 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.
By:  
Imprint:   Springer
Edition:   2001 ed.
Volume:   17
Dimensions:   Height: 235mm,  Width: 155mm,  Spine: 19mm
Weight:   1.370kg
ISBN:   9780792375036
ISBN 10:   0792375033
Series:   International Series in Intelligent Technologies
Pages:   288
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Professional & Vocational ,  A / AS level ,  Further / Higher Education
Format:   Hardback
Publisher's Status:   Active

Reviews for Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering

'The book could be considered as a lucid, clear and well to read theoretical treatise about fuzzy dynamic pattern recognition. It is particularly commendable that Dr. Angstenberger does not stop here, but that she shows very clearly how her suggestions really work in applications. In my view this book really presents a breakthrough in a new area of pattern recognition. It will certainly be the basis for many other research projects and real applications. I can only congratulate her to this excellent scientific and application oriented work and hope that it may be of benefit to many scientists and practitioners.' From the foreword by H.-J. Zimmermann, Aachen, Germany, January 2001


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