Temperature prediction and TAIFEX forecasting based on fuzzy relationships and MTPSO techniques

@article{Hsu2010TemperaturePA,
  title={Temperature prediction and TAIFEX forecasting based on fuzzy relationships and MTPSO techniques},
  author={Ling-Yuan Hsu and Shi-Jinn Horng and Tzong-Wann Kao and Yuan-Hsin Chen and Ray-Shine Run and Rong-Jian Chen and Jui-Lin Lai and I-Hong Kuo},
  journal={Expert Syst. Appl.},
  year={2010},
  volume={37},
  pages={2756-2770}
}
In this paper, we proposed a modified turbulent particle swarm optimization (named MTPSO) method for the temperature prediction and the Taiwan Futures Exchange (TAIFEX) forecasting, based on the two-factor fuzzy time series and particle swarm optimization. The MTPSO model can be dealt with two main factors easily and accurately, which are the lengths of intervals and the content of forecast rules. The experimental results of the temperature prediction and the TAIFEX forecasting show that the… CONTINUE READING
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