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Function x-lnx(x≥e) Transformation for Improving Smooth Degree And Its Application in Grey Modeling

机译:改进光滑度的函数x-lnx(x≥e)变换及其在灰色建模中的应用

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In this paper, a new method for improving smooth degree of original data sequence based on function transformation x-lnx is put forward. It is proved that the new method can advance the smooth degree of original data sequence much better and can improve the precision of GM(1,1) model. The new method can widen the application range of grey model. The practical application shows the effectiveness of the proposing approach.
机译:提出了一种基于函数变换x-lnx的提高原始数据序列平滑度的新方法。实践证明,该方法可以更好地提高原始数据序列的平滑度,可以提高GM(1,1)模型的精度。新方法可以拓宽灰色模型的应用范围。实际应用表明了该方法的有效性。

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