Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering
General Material Designation
[Book]
First Statement of Responsibility
by Larisa Angstenberger.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Dordrecht :
Name of Publisher, Distributor, etc.
Imprint: Springer,
Date of Publication, Distribution, etc.
2001.
SERIES
Series Title
International Series in Intelligent Technologies,
Volume Designation
17
ISSN of Series
1382-3434 ;
CONTENTS NOTE
Text of Note
1 Introduction -- 2 General Framework of Dynamic Pattern Recognition -- 3 Stages of the Dynamic Pattern Recognition Process -- 4 Dynamic Fuzzy Classifier Design with Point-Prototype Based Clustering Algorithms -- 5 Similarity Concepts for Dynamic Objects in Pattern Recognition -- 6 Applications of Dynamic Pattern Recognition Methods -- 7 Conclusions -- References -- Unsupervised Optimal Fuzzy Clustering Algorithm of Gath and Geva -- Description of Implemented Software.
0
SUMMARY OR ABSTRACT
Text of Note
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.