滑坡体稳定性的稳健回归预报建模
首发时间:2006-01-09
摘要:基于滑坡体稳定性影响因子的,可以建立多种稳定性预报模型。但稳定性建模方法通常未考虑到因子测量中的粗差对模型的影响。本文在多元回归方法的基本模型,采用M估计方法探讨稳定性的稳健回归方法。文章深入分析了稳健回归模型的基本原理,选择Huber权函数建立云阳—奉节段长江顺层岸坡稳定性的稳健预报模型。结果表明,当基本因子存在测量粗差时,稳健回归建模方法能很好的抑制粗差的影响,并获得令人满意的稳定性预报结果.
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Robust regression modeling for landslide stability Prediction
Abstract:Various stability prediction modeling methods are available with respect to landslide stability influence factors. However, little attention is paid to the gross error impact of the factors on modeling. In this paper, M estimate based robust regression methodology is applied to establish landslide stability prediction model on landslide of yunyang-fengjie section of the Changjiang River.using Huber weight function。The experiment shows better prediction results using robust regression than least-square regression once the stability influence factors are affected by gross errors.
Keywords: landslide body stability robust regression
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