Title :
The comparision research of landslide prediction methods by chaotic time series
Author :
Yuliang, Lin ; Xiaoliang, Chen
Author_Institution :
Coll. of Civil & Archit. Eng., Guangxi Univ., Nanning, China
Abstract :
The chaotic time series based on the largest Lyapunov exponent is used to predict landslide. Oneself character of chaotic time series is used which does not easy be disturbed by various noises, and the subjective model does not need to be choosed. So the prediction precision of this method is higher than other methods, that has been demonstrated by an engineering example.
Keywords :
Lyapunov methods; chaos; geomorphology; geophysical techniques; time series; chaotic time series; landslide prediction method; largest Lyapunov exponent; Educational institutions; Noise; Prediction methods; Rivers; Terrain factors; Time series analysis; chaotic time series; landslide prediction; largest Lyapunov exponent;
Conference_Titel :
Electric Technology and Civil Engineering (ICETCE), 2011 International Conference on
Conference_Location :
Lushan
Print_ISBN :
978-1-4577-0289-1
DOI :
10.1109/ICETCE.2011.5775370
