Fuzzy models for pattern recognition : methods that search for structures in data / edited by James C. Bezdek, Sankar K. Pal.
Contributor(s): Pal, Sankar K
| Bezdek, James C | IEEE Neural Networks Council.
Material type: 
BookPublisher: New York : Institute of Electrical and Electronics Engineers, c1992Description: xi, 539 p. : ill. ; 29 cm.ISBN: 0780304225.Subject(s): Pattern perception | Fuzzy sets | Cluster analysisDDC classification: 621.380414 | Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| General Lending | MTU Bishopstown Library Lending | 621.380414 (Browse shelf(Opens below)) | 1 | Available | 00083952 |
Enhanced descriptions from Syndetics:
Collections seminal papers on the subject, beginning with Zadeh's original 1965 article on fuzzy sets and proceedings chronologically through the evolution of fuzzy algorithms for feature analysis, clustering, classifier design, neural network learning, image processing, and computer vision. The material is accessible to senior undergraduates in engineering and the physical and computational sciences. Annotation c. by Book News, Inc., Portland, Or.
"A selected reprint volume, IEEE Neural Networks Council, sponsor."
Includes bibliographical references and indexes.
Fuzzy models for pattern recognition background, significance and key points -- Cluster analysis -- Classifier design and feature analysis -- Image processing and machine vision -- Fuzzy logic, neural networks and learning in pattern recognition.