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Non-Linear Approach to (Off-line) Identification of Flexible Models

  • Plamen P. Angelov
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 92)

Abstract

The non-linear approach relies on numerical optimisation techniques like GA and gradient-based approaches. It should be mentioned that they are iterative and computationally more expensive.

Keywords

Membership Function Crossover Operator Linguistic Term Trial Point Elitist Selection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Plamen P. Angelov
    • 1
  1. 1.Department of Civil and Building EngineeringLoughborough UniversityLoughboroughUK

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