Landslide displacement prediction based on multivariate chaotic model and extreme learning machine

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• 作者：Faming Huang^a ; Jinsong Huang^b ; ^c ; ^{Jinsong.huang@newcastle.edu.au} ; Shuihua Jiang^c ; Chuangbing Zhou^c ; ^b
• 关键词：Reservoir landslides ; Displacement prediction ; Multivariate phase space reconstruction ; Extreme learning machine ; Double exponential smoothing
• 刊名：Engineering Geology
• 出版年：2017
• 出版时间：23 February 2017
• 年：2017
• 卷：218
• 期：Complete
• 页码：173-186
• 全文大小：2184 K
• 卷排序：218

文摘

The chaos characteristics of the displacement time series of reservoir landslides are identified. The main trigger factors of reservoir landslides are identified. Multivariate chaotic Extreme Learning Machine (ELM) model is used to predict the displacement of reservoir landslides. The displacements of two reservoir landslides in the Three Gorges Reservoir Area are predicted accurately.