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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...
We present a chaos forecasting system for chaotic time series. After reconstructing the phase space of a chaotic time series, we partition the phase space into some clusters using the fuzzy c-means clustering algorithm. We learn the cluster to which future values will most likely belong. This allows us to make short-term forecasting of the future behavior of a time series by back-propagation network...
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