ANFIS: adaptive-network-based fuzzy inference system

@article{Jang1993ANFISAF,
  title={ANFIS: adaptive-network-based fuzzy inference system},
  author={Jyh-Shing Roger Jang},
  journal={IEEE Trans. Syst. Man Cybern.},
  year={1993},
  volume={23},
  pages={665-685}
}
  • J. Jang
  • Published 1 May 1993
  • Computer Science
  • IEEE Trans. Syst. Man Cybern.
The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference system implemented in the framework of adaptive networks. By using a hybrid learning procedure, the proposed ANFIS can construct an input-output mapping based on both human knowledge (in the form of fuzzy if-then rules) and stipulated input-output data pairs. In the simulation, the ANFIS architecture is employed to model nonlinear functions, identify… 
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