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Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering

  • Book
  • © 2001

Overview

Authors:
  1. Larisa Angstenberger
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Part of the book series: International Series in Intelligent Technologies (ISIT, volume 17)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xxii
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  2. Introduction

    • Larisa Angstenberger
    Pages 1-5

  3. General Framework of Dynamic Pattern Recognition

    • Larisa Angstenberger
    Pages 7-36

  4. Stages of the Dynamic Pattern Recognition Process

    • Larisa Angstenberger
    Pages 37-78

  5. Dynamic Fuzzy Classifier Design with Point-Prototype Based Clustering Algorithms

    • Larisa Angstenberger
    Pages 79-153

  6. Similarity Concepts for Dynamic Objects in Pattern Recognition

    • Larisa Angstenberger
    Pages 155-198

  7. Applications of Dynamic Pattern Recognition Methods

    • Larisa Angstenberger
    Pages 199-263

  8. Conclusions

    • Larisa Angstenberger
    Pages 265-267

  9. Back Matter

    Pages 269-287
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Keywords

About this book

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.

Reviews

`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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