This carefully edited collection of recent works on fuzzy model identification opens the field to conventional control theorists, provides engineers with new techniques, and brings together methods based on different techniques for identifying fuzzy models.
Auflage
Softcover reprint of the original 1st ed. 1997
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Professional/practitioner
Illustrationen
20
20 s/w Abbildungen
XXI, 319 p. 20 illus.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 19 mm
Gewicht
ISBN-13
978-3-540-62721-0 (9783540627210)
DOI
10.1007/978-3-642-60767-7
Schweitzer Klassifikation
General Overview.- Fuzzy Identification from a Grey Box Modeling Point of View.- Clustering Methods.- Constructing Fuzzy Models by Product Space Clustering.- Identification of Takagi-Sugeno Fuzzy Models via Clustering and Hough Transform.- Rapid Prototyping of Fuzzy Models Based on Hierarchical Clustering.- Neural Networks.- Fuzzy Identification Using Methods of Intelligent Data Analysis.- Identification of Singleton Fuzzy Models via Fuzzy Hyperrectangular Composite NN.- Genetic Algorithms.- Identification of Linguistic Fuzzy Models by Means of Genetic Algorithms.- Optimization of Fuzzy Models by Global Numeric Optimization.- Artificial Intelligence.- Identification of Linguistic Fuzzy Models Based on Learning.
