基于小波变换的灰色模型边坡变形预测研究
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摘要
为了合理准确的预测出边坡变形程度,减少边坡不稳定带来的损失,针对小波变换去噪理论与灰色模型预测方法的特点,提出了一种基于小波变换理论的灰色模型预测方法来预测边坡变形量。首先通过小波去噪,获得具有更小随机误差的观测数据,然后利用灰色模型预测变形量,最后通过结果对比分析预测精度。通过实验证明,基于小波变换的灰色模型边坡变形预测方法精度更高,效果更好,适合用于边坡变形预测。
In order to reasonably and accurately predict the slope deformation degree and reduce the loss caused by the slope instability,agrey model prediction method based on the wavelet transform theory is proposed to predict the slope deformation aiming at the features of wavelet transform denoising theory and grey model prediction method.Firstly,the wavelet denoising is used to obtain the observation data with smaller random error.Next,the grey model is used to predict the deformation.Finally,the prediction accuracy is analyzed by comparing the results.The experimental results show that the grey model prediction of slope deformation based on wavelet transform is more accurate and effective,which is suitable for the slope deformation prediction.
In order to reasonably and accurately predict the slope deformation degree and reduce the loss caused by the slope instability,agrey model prediction method based on the wavelet transform theory is proposed to predict the slope deformation aiming at the features of wavelet transform denoising theory and grey model prediction method.Firstly,the wavelet denoising is used to obtain the observation data with smaller random error.Next,the grey model is used to predict the deformation.Finally,the prediction accuracy is analyzed by comparing the results.The experimental results show that the grey model prediction of slope deformation based on wavelet transform is more accurate and effective,which is suitable for the slope deformation prediction.
引文
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