A heuristic error-feedback learning algorithm for fuzzy modeling

  • Authors:
  • Ji-Chang Lo;Chien-Hsing Yang

  • Affiliations:
  • Dept. of Mech. Eng., Nat. Central Univ., Chung-Li;-

  • Venue:
  • IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
  • Year:
  • 1999

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Abstract

Describes a type of fuzzy system with interpolating capability to extract MISO fuzzy rules from input-output sample data through learning. The proposed model inherits many merits from Sugeno-type models and their variations. A heuristic error-feedback learning algorithm associated with the model is suggested. Based on which, the estimator is shown to have a self-adjusting step when approaching a minimum