Fuzzy Model Identification Selected Approaches

Fuzzy Model Identification Selected Approaches / edited by Hans Hellendoorn, Dimiter Driankov.

This carefully edited volume presents a collection of recent works in fuzzy model identification. It opens the field of fuzzy identification to conventional control theorists as a complement to existing approaches, provides practicing control engineers with the algorithmic and practical aspects of a...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Hellendoorn, Hans (Editor), Driankov, Dimiter (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1997.
Edition:1st ed. 1997.
Series:Springer eBook Collection.
Subjects:
Computer simulation.
Pattern recognition.
Artificial intelligence.
Microprogramming .
Computer-aided engineering.
Control engineering.
Robotics.
Mechatronics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.

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