Recurrent type ANFIS using local search technique for time series prediction

@article{Tamura2008RecurrentTA,
  title={Recurrent type ANFIS using local search technique for time series prediction},
  author={Hiroki Tamura and Koichi Tanno and Hisashi Tanaka and Catherine Vairappan and Zheng Tang},
  journal={APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems},
  year={2008},
  pages={380-383}
}
This paper presents an improved adaptive neuro-fuzzy inference system (ANFIS) for the application of time series prediction. Because ANFIS is based on a feedforward network structure, it is limited to static problem and cannot effectively cope with dynamic properties such as the time series data. To overcome this problem, an improved version of ANFIS is proposed by introducing self-feedback connections that model the temporal dependence. A batch type local search is suggested to train the… CONTINUE READING
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