Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering

Larisa Angstenberger

ISBN 10: 0792375033 / ISBN 13: 9780792375036

Published by Springer Netherlands Okt 2001, 2001

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 316 pp. Englisch. Seller Inventory # 9780792375036

Bibliographic Details

Title: Dynamic Fuzzy Pattern Recognition with ...

Publisher: Springer Netherlands Okt 2001

Publication Date: 2001

Binding: Buch

Condition: Neu

About this title

Synopsis:

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.

Review:

`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