DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction

@article{Kasabov2002DENFISDE,
  title={DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction},
  author={Nikola K. Kasabov and Qun Song},
  journal={IEEE Trans. Fuzzy Systems},
  year={2002},
  volume={10},
  pages={144-154}
}
This paper introduces a new type of fuzzy inference systems, denoted as dynamic evolving neural-fuzzy inference system (DENFIS), for adaptive online and offline learning, and their application for dynamic time series prediction. DENFIS evolve through incremental, hybrid (supervised/unsupervised), learning, and accommodate new input data, including new features, new classes, etc., through local element tuning. New fuzzy rules are created and updated during the operation of the system. At each… CONTINUE READING
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