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.

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该模型同时具备直接灰色模型和无偏灰色模型的优点，能够直接描述原始数列的变化特性并且没有偏差。

The model has the advantages of direct grey model and unbiased grey model; it can express the changing characteristics of raw sequence, and is unbiased.

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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。

Compared with the conventional grey-forecasting, the unbiased grey-forecasting model is superior in properties and has more extensive application scope.

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