Tuning complex fuzzy systems by supervised learning algorithms

@inproceedings{MorenoVelo2003TuningCF,
  title={Tuning complex fuzzy systems by supervised learning algorithms},
  author={Francisco Jose Moreno-Velo and Iluminada Baturone and Raouf Senhadji Navarro and Santiago S{\'a}nchez-Solano},
  booktitle={FUZZ-IEEE},
  year={2003}
}
Tuning a fuzzy system to meet a given set of inpuffoutput patterns is usually a difficult task that involves many parameters. This paper presents an study of different approaches that can be applied to perform this tuning process automatically, and describes a CAD tool, named xfsl, which allows applying a wide set of these approaches: (a) a large number of supervised learning algorithms; (b) different processes to simplify the learned system; (c) tuning only specific parameters of the system… CONTINUE READING

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