Fuzzy Model Identification (eBook, PDF)

Selected Approaches
Redaktion: Hellendoorn, Hans; Driankov, Dimiter

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 319
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9783642607677
• Artikelnr.: 53094567

Inhaltsangabe

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.