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Neurofuzzy Controllers

  • Ian S. Shaw
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 457)

Abstract

Section 5.2 listed three fuzzy system types. The first was the rule-based system where human operator experience is incorporated into a rule set and membership functions. The second (parametric) and third (relational equation based) have reduced the element of human judgment to the construction of membership functions while the rules were generated from measurements.

Keywords

Neural Network Membership Function Hide Layer Fuzzy System 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 Science+Business Media New York 1998

Authors and Affiliations

  • Ian S. Shaw
    • 1
  1. 1.Industrial Electronic Technology Research GroupRand Afrikaans UniversityJohannesburgRepublic of South Africa

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