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。
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。
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。
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。
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。
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