The engineering practice proves that GM(1, N) model possesses rather good precision and forecast dependability comparing with GM(1,1) model , which hase some applied value on settlement forecast.
通过工程实例，证明GM（1，N）模型与GM（1，1）模型相比有较好的拟合精度和预测可靠度，对沉降预测有很大参考价值。
ARMA (1, 1) model is established to forecast the settlement during constructing subgrade and the time for next load.
建立了ARMA(1, 1)模型来对公路施工填筑期间的沉降进行短期预测，进而对下一级加载的时间进行预测。
GM (1, 1) model of unequal time span forecast of ground settlement is established based upon Grey theory. The result can be amended.
应用灰色理论，建立了不等时距的地基沉降预测GM(1, 1)模型，并可对结果进行修正。
In this paper, the grey prediction model is established to forecast building settlement and inclination. The model is tested to be of high precision and its results are satisfactory.
本文利用灰色预测模型对建筑物倾斜和基础沉降进行模拟和预测，结果表明：模型精度高，预测结果令人满意。
Then the model has been used to forecast some project, the result prove Poission curve exactly reflect the "S" relation between settlement and time.
结合具体工程实例，证实泊松曲线很好地反映了路基沉降过程中沉降量与时间的“S”形关系。
This paper applied non-equidistance grey model to forecast the tunnel settlement.
运用非等间隔序列的灰色模型进行隧道沉降预测，并通过实例计算分析。
This paper applied non-equidistance grey model to forecast the tunnel settlement.
运用非等间隔序列的灰色模型进行隧道沉降预测，并通过实例计算分析。
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