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Design and Application for the Method of Dynamic Weighted Moving Average Forecasting

机译:动态加权移动平均预测方法的设计与应用

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In traditional prediction methods,we have to overcome the errors when predict for the dynamic data. In this paper, the dynamic prediction theory and moving average forecasting has been combined. We had designed a kind of weighted moving average forecasting method to predict the data of time series. Dynamic weighting parameter has been constructed in the original moving average forecast. The prediction effect is better than moving average forecast when compared the relative error. At last, we predicted the Urumqi prediction of precipitation for 30 years with this method. The effect of the prediction of relative error is smaller.
机译:在传统的预测方法中,我们必须克服动态数据预测中的误差。本文将动态预测理论与移动平均预测相结合。我们设计了一种加权移动平均线预测方法来预测时间序列数据。动态加权参数已在原始移动平均预测中构建。当比较相对误差时,预测效果优于移动平均预测。最后,用这种方法对乌鲁木齐30年来的降水量进行了预测。相对误差的预测效果较小。

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