The Whole-region Method of Chaotic Time Series for Slope Deformation Prediction

Zhiquan Huang, Sha Ma, Han-Dong Liu
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引用次数: 2

Abstract

The parameters in the slope system are uncertainly and random due to the slpoe complexity, a series of chaos can be appeared in the course of the slope evolution. The Whole-region Method of chaotic time series is presented for predicting the slope deformation based on the Chaotic Theory. The construction of prediction model and the process of application are discussed in detailed, further the method is used to analyze the deformation of Xintan landslide. The research results indicates that this prediction method can get better result than conventional time series method
边坡变形混沌时间序列的全区域预测方法
由于边坡的复杂性,边坡系统参数具有不确定性和随机性,在边坡演化过程中会出现一系列的混沌现象。基于混沌理论,提出了混沌时间序列的全区域预测方法。详细讨论了预测模型的构建和应用过程,并将该方法应用于新滩滑坡变形分析。研究结果表明,该预测方法比传统的时间序列方法具有更好的预测效果
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