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Using opposite-direction average generating operator to construct grey forecasting model

机译:用反方向平均生成算子构建灰色预测模型

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A grey model with opposite-direction average generating operator is put forward in order to fully extract information concealed in new data. Besides, the relationship between the sample size and the error from the inverse opposite-direction average generating operator is discussed. Compared with traditional grey forecasting model, the results of practical numerical examples have demonstrated that this grey model perform well in forecasting problems with limited data, and can provide reliable and acceptable accuracy for future prediction.
机译:提出了一种具有相反方向平均生成算子的灰色模型,以充分提取隐藏在新数据中的信息。此外,还讨论了样本量与反方向平均生成算子的误差之间的关系。与传统的灰色预测模型相比,实际算例结果表明,该灰色模型在有限数据预测问题上表现良好,可以为未来的预测提供可靠,可接受的精度。

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