Forecasting of Landslide Displacement Using a Probability-Scheme Combination Ensemble Prediction Technique
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- Junwei Ma & Xiaoxu Niu & Huiming Tang & Yankun Wang & Tao Wen & Junrong Zhang, 2020. "Displacement Prediction of a Complex Landslide in the Three Gorges Reservoir Area (China) Using a Hybrid Computational Intelligence Approach," Complexity, Hindawi, vol. 2020, pages 1-15, January.
- Chen, Kunlong & Jiang, Jiuchun & Zheng, Fangdan & Chen, Kunjin, 2018. "A novel data-driven approach for residential electricity consumption prediction based on ensemble learning," Energy, Elsevier, vol. 150(C), pages 49-60.
- Yankun Wang & Huiming Tang & Tao Wen & Junwei Ma, 2020. "Direct Interval Prediction of Landslide Displacements Using Least Squares Support Vector Machines," Complexity, Hindawi, vol. 2020, pages 1-15, May.
- Xie Hu & Roland Bürgmann & William H. Schulz & Eric J. Fielding, 2020. "Four-dimensional surface motions of the Slumgullion landslide and quantification of hydrometeorological forcing," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
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Cited by:
- Zongxing Zou & Sha Lu & Fei Wang & Huiming Tang & Xinli Hu & Qinwen Tan & Yi Yuan, 2020. "Application of Well Drainage on Treating Seepage-Induced Reservoir Landslides," IJERPH, MDPI, vol. 17(17), pages 1-20, August.
- Emily Ying Yang Chan & Holly Ching Yu Lam, 2021. "Research in Health-Emergency and Disaster Risk Management and Its Potential Implications in the Post COVID-19 World," IJERPH, MDPI, vol. 18(5), pages 1-3, March.
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Keywords
landslide displacement; predictive uncertainty; ensemble prediction; probability combination scheme; quantile regression neural networks (QRNNs); kernel density estimation (KDE);All these keywords.
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