灰色预测模型GM(1,1)主要适用于光滑数据序列的预测。
The GM (1, 1) forecast model fits in with mainly the smooth data sequence.
提出了“利用反双曲正弦函数变换提高数据列光滑程度”的新结论，获得了递增时间序列改善的自回归预测新方法。
A new conclusion is put forward, in which the smooth degree of the data row can be enhanced by means of the arc-hyperbolic sine function transformation.
通过实例计算表明，该方法可以高精度地将全区域范围的水泵试验数据拟合成光滑的特性曲线，并能够消除因试验随机误差所引起的曲线扰动。
It is proved in the examples that the new method works well in precisely building the pump test data in wide area into smooth curve without disturbance caused by the random test error.
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