Adaptive filtering method is based on the number of a given set of rights to compute a weighted average of the predicted value of historical time series of observations, and then adjust the weight according to the number of prediction errors to reduce error, so find out repeatedly until a set of best weights, the error is reduced to a minimum, the right to re-use the optimal number of weighted average forecast.

自适应过滤法程序.doc

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