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Fuzzy Logic pp 337-351 | Cite as

Neuro-Fuzzy Control Applications: Looking for New Areas and Techniques?

  • Leonid Reznik
Conference paper
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 81)

Abstract

Nowadays one can witness the development of fuzzy and neuro-fuzzy control systems going in two directions. The first one results in design of more sophisticated systems in traditional application areas such as home appliances, climate control, manufacturing as well as in advancement of the design theoretical knowledge. Another one constitutes an expansion of neuro-fuzzy control into new application fields in both engineering (telecommunications, first but not the least to mention) and non-engineering (business, social sciences) areas. The development of the second direction is very closely tied with an application of fuzzy methodology in data analysis and acquisition. One may note that both directions do not compete but complement each other.

Keywords

Membership Function Fuzzy Logic Radial Basis Function Median Error Fuzzy Control 
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

  • Leonid Reznik
    • 1
  1. 1.School of Communications & InformaticsVictoria University of TechnologyMelbourne City MCAustralia

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