A novel method for forecasting landslide displacement based on phase space reconstruction and support vector machine

Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University

Volumn 34, Issue 2, 2009, Pages 248-251

  Fan, Qian ^a   Hua, Xianghong ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Landslide displacement; Phase space reconstruction; Support vector machine; Wavelet transform

Indexed keywords

A-WAVELET TRANSFORMS; CHAOTIC CHARACTERISTICS; DIFFERENT FREQUENCIES; DISPLACEMENT PREDICTIONS; DISPLACEMENT TIME SERIES; MUTUAL INFORMATIONS; NOVEL METHODS; OPTIMAL EMBEDDING; OPTIMAL TIME; PHASE SPACE RECONSTRUCTION; SUPPORT VECTOR MACHINE; SUPPORT VECTORS; WAVELET THEORIES;

FORECASTING; GEARS; IMAGE RETRIEVAL; LANDSLIDES; MULTILAYER NEURAL NETWORKS; PHASE SPACE METHODS; RESTORATION; TIME SERIES; VECTORS; WAVELET TRANSFORMS;

SUPPORT VECTOR MACHINES;

DECOMPOSITION ANALYSIS; DISPLACEMENT; FORECASTING METHOD; LANDSLIDE; OPTIMIZATION; THEORETICAL STUDY; TIME SERIES ANALYSIS; TRANSFORM; WAVELET ANALYSIS;

EID: 61749102462     PISSN: 16718860     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

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2. Shevade S K, Keerthi S C, Bhattacharyya C, et al. Improvements to SMO Algorithm for SVM Regression [J]. IEEE Transactions on Neural Networks, 2000, 11 (5): 1188-1193