Traffic Flow Prediction of Chaos Time Series by Using Subtractive Clustering for Fuzzy Neural Network Modeling

@article{Mingbao2008TrafficFP,
  title={Traffic Flow Prediction of Chaos Time Series by Using Subtractive Clustering for Fuzzy Neural Network Modeling},
  author={Pang Ming-bao and Zhao Xin-ping},
  journal={2008 Second International Symposium on Intelligent Information Technology Application},
  year={2008},
  volume={1},
  pages={23-27}
}
The method was studied about traffic flow prediction by using subtractive clustering for fuzzy neural network model of phase-space reconstruction. The prediction model of traffic flow must be established to satisfy the intelligent need of high precision through analyzing problems of the existing predicting methods in chaos traffic flow time series and the demand of uncertain traffic system. Based on the powerful nonlinear mapping ability of neural network and the characteristics of fuzzy logic… CONTINUE READING
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