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A new approach to the optimal adaptive filtering is proposed in this paper. In this approach, a polynomial prediction model is used to describe the time-variant/invariant impulse response coefficients of an identified system. When the polynomial prediction model is viewed as the state equations of the identified impulse response coefficients and the relationships between the inputs and outputs of...
Combination prediction is an effective method to improve prediction precision for logistics demand. On the basis of least square support vector machine (LS-SVM), a combination prediction model for logistics demand is proposed. Firstly, according to the historical data of logistics demand, grey model (GM), auto regression moving average (ARMA) model and polynomial prediction model are established respectively...
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