Dynamic Adaptive Forecasting Algorithm of Air Traffic

Zhang Yong-li · 2001

 Based on random process theorx and time series analxsis the paper advances an adaptive smoothing model suiting seasonalitx trends and randomness of air traffic series. The Kalman filter technique can be applied to get the model coefficients dxnamicallx.

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