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Pattern classification : neuro-fuzzy methods and their comparison

Author: Shigeo Abe
Publisher: London ; New York : Springer, ©2001.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:

Provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through performance evaluation of real data sets. This book offers  Read more...

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Additional Physical Format: Online version:
Abe, Shigeo, 1947-
Pattern classification.
London ; New York : Springer, ©2001
(OCoLC)606510230
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Shigeo Abe
ISBN: 1852333529 9781852333522
OCLC Number: 44425496
Description: xix, 327 pages : illustrations ; 24 cm
Contents: pt. I. Pattern Classification. 1. Introduction. 2. Multilayer Neural Network Classifiers. 3. Support Vector Machines. 4. Membership Functions. 5. Static Fuzzy Rule Generation. 6. Clustering. 7. Tuning of Membership Functions. 8. Robust Pattern Classification. 9. Dynamic Fuzzy Rule Generation. 10. Comparison of Classifier Performance. 11. Optimizing Features. 12. Generation of Training and Test Data Sets --
pt. II. Function Approximation. 13. Introduction. 14. Fuzzy Rule Representation and Inference. 15. Fuzzy Rule Generation. 16. Robust Function Approximation. App. A. Conventional Classifiers.
Responsibility: Shigeo Abe.
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