Based on its characteristics, the grey forecasting model was applied to forecast the monitoring series with seasonality.
基于灰色模型的诸多优点，作者选用GM(1,1)模型分析和预报形变监测序列。
The result shows that the combination forecasting model is of higher precision and more reliability comparing with the grey forecasting and non-linear models.
结果表明，与单项预测模型相比，组合模型的预测精度高，预测结果更加可靠。
It is not necessary to assume the concrete stochastic process model for a repairable system when we estimate the failure hour by means of the grey forecasting model.
认为运用灰色预测模型来估计可修复系统的故障时刻，不必假定系统的随机过程模型。
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