Compensatory neurofuzzy systems with fast learning algorithms

  title={Compensatory neurofuzzy systems with fast learning algorithms},
  author={Yanqing Zhang and Abraham Kandel},
  journal={IEEE transactions on neural networks},
  volume={9 1},
In this paper, a new adaptive fuzzy reasoning method using compensatory fuzzy operators is proposed to make a fuzzy logic system more adaptive and more effective. Such a compensatory fuzzy logic system is proved to be a universal approximator. The compensatory neural fuzzy networks built by both control-oriented fuzzy neurons and decision-oriented fuzzy neurons cannot only adaptively adjust fuzzy membership functions but also dynamically optimize the adaptive fuzzy reasoning by using a… CONTINUE READING
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