人民黄河Issue(9)：101-104,4.DOI:10.3969/j.issn.1000-1379.2014.09.033
基于LMS算法的自适应滤波边坡位移预测
Adaptive Filtering Prediction for Slope Displacement Based on LMS Algorithm
摘要
Abstract
The slope’s safety state and stability can be effectively estimated by making an accurate prediction for slope displacement. Aiming at the characteristic of slope displacement’s adaptive variation with time,this paper applied the adaptive filtering theory to establish a kind of prediction model for slope displacement which could be solved by Least Mean Square (LMS)algorithm. At the same it provided the methods of initial parame-ters calculation and model testing. On basis of that,the model was applied to predict the displacement of a real slope by using the historical monito-ring data. The results indicate that the prediction data show a good agreement with the historical monitoring data,the prediction model gets a good approximation?capability and extrapolating?ability,and it has a higher prediction precision and a better reliability.关键词
边坡/位移预测/自适应滤波/LMS算法Key words
slope/displacement prediction/adaptive filtering/LMS algorithm分类
建筑与水利引用本文复制引用
王兴霞,黄建文,廖再毅..基于LMS算法的自适应滤波边坡位移预测[J].人民黄河,2014,(9):101-104,4.基金项目
国家重点基础研究发展计划项目（2012CB426502）；三峡大学科学基金资助项目（KJ2012B027）。 （）
