Two examples clearly demonstrate the superiority of the unbiased grey-forecasting model.
给出的两个实例充分显示了无偏灰色预测模型的优越性。
Compared with the conventional grey-forecasting, the unbiased grey-forecasting model is superior in properties and has more extensive application scope.
无偏灰色预测模型不仅性能优于传统灰色预测模型，而且其适用范围也较传统灰色预测模型有了很大扩展。
The unbiased grey-forecasting model eliminates the inherent deviation of the conventional grey-forecasting model, it is in fact an unbiased exponential model.
无偏灰色预测模型消除了传统灰色预测模型本身所固有的偏差，实质上是一种无偏的指数模型。
Because of the inherent bias in the traditional grey-forecasting model and the fixed choice of its parameter, the forecast precision is relatively low and unsuitable to the long-term forecasting.
由于传统灰色预测模型固有的偏差和模型参数的固定选择，导致预测精度较低，不适应中长期负荷预测。
By analyzing the characteristics of conventional Grey-forecasting model, people find it is in fact a biased exponential model.
人们对传统灰色预测模型特性进行分析，发现该模型实际上是一种有偏差的指数模型。
According to the sequence of the soil creeping failure time under different loading conditions, a grey forecasting model for the failure time in the course of soil creeping is established.
根据不同载荷条件下土体蠕变破坏的时间数据列，建立了土体流变破坏时间的灰色预测模型。
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。
The application of grey data mining model in the management and decision of logistics enterprises has proved that the grey forecasting model and clustering model is effective and of practical value.
灰色数据挖掘模型在物流企业的管理决策问题中的应用证明了基于灰色系统理论的灰色预测和聚类模型是有效的、具有实用价值的数据挖掘模型。
This paper use grey forecasting model and unbiased grey forecasting model to test a series of slope data, and the results indicate that both methods are valid and the later is more accurate.
本文采用传统灰色预测模型和无偏灰色预测模型对边坡变形进行预测，预测结果表明，两种模型都是有效的， 无偏灰色预测模型的精度更高。
This paper use grey forecasting model and unbiased grey forecasting model to test a series of slope data, and the results indicate that both methods are valid and the later is more accurate.
采用传统灰色预测模型和无偏灰色预测模型对边坡变形进行预测，预测结果表明，两种模型都是有效的，无偏灰色预测模型的精度更高。
The accuracy of grey forecasting model (GM) is increased by improving the smooth degree of original data sequence.
用提高原始数据列光滑度的方法来提高灰色预测模型(GM模型)的精度。
A variable parameter value rolling grey forecasting model (RGM) is constructed, which makes an enhancement to the fixed parameter value RGM.
在固定参数动态灰色预测模型基础之上进行改进，提出了可变参数动态灰色预测模型。
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。
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。
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