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Application of Time Series' Equal-space GM (1, 1) on Slope isplacement Prediction

机译:时间序列的等空间GM(1,1)在边坡位移预测中的应用

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摘要

Slop disasters, which are blurry and uncertainly, are influenced by random variables. So it is preponderant to use the gray theory to predict the displacement of slopes. The traditional model of equal interval gray system-GM (1, 1) needs equal interval monitoring data to get prediction, but most of time, we can only get unequal interval monitoring data. Therefore put forward a method that firstly make the unequal interval monitoring data equal-space and then use GM (1, 1) to forecast the displacement. Use Matlab to design corresponding program of this model, prove that this model is hightly accurate and can be applied to practical engineering with an example.
机译:模糊和不确定的边坡灾害受随机变量影响。因此,使用灰色理论来预测边坡的位移是占优势的。传统的等距灰色系统GM(1,1)模型需要等距监视数据来进行预测,但是大多数时候,我们只能获得不等距的监视数据。因此提出了一种方法,该方法首先使不等间隔的监测数据等距,然后使用GM(1,1)预测位移。用Matlab设计该模型的相应程序,并举例说明该模型高度准确,可应用于实际工程。

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