Probabilistic forecasting of landslide displacement accounting for epistemic uncertainty: a case study in the Three Gorges Reservoir area, China
暂无分享,去创建一个
Junrong Zhang | Huiming Tang | Xiao Liu | Zhiqiang Fan | Tao Wen | Junwei Ma | Qinwen Tan | Huiming Tang | Zhiqiang Fan | Tao Wen | Xiao Liu | Junwei Ma | Junrong Zhang | Qinwen Tan
[1] Zhitao Huo,et al. Deformation Features of Shuping Landslide Caused by Water Level Changes in Three Gorges Reservoir Area, China , 2007 .
[2] Hava T. Siegelmann,et al. The Dynamic Universality of Sigmoidal Neural Networks , 1996, Inf. Comput..
[3] Fu Ren,et al. Application of wavelet analysis and a particle swarm-optimized support vector machine to predict the displacement of the Shuping landslide in the Three Gorges, China , 2015, Environmental Earth Sciences.
[4] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.
[5] W. Walker,et al. Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support , 2003 .
[6] Sijing Wang,et al. A nonlinear dynamical model of landslide evolution , 2002 .
[7] Kiminori Araiba,et al. Movement of the Shuping landslide in the first four years after the initial impoundment of the Three Gorges Dam Reservoir, China , 2008 .
[8] Zhigang Zeng,et al. Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[9] Helen M. Regan,et al. A TAXONOMY AND TREATMENT OF UNCERTAINTY FOR ECOLOGY AND CONSERVATION BIOLOGY , 2002 .
[10] Bijaya K. Panigrahi,et al. Point and prediction interval estimation for electricity markets with machine learning techniques and wavelet transforms , 2013, Neurocomputing.
[11] Zhigang Zeng,et al. Training enhanced reservoir computing predictor for landslide displacement , 2015 .
[12] Zhigang Zeng,et al. Deformation Prediction of Landslide Based on Improved Back-propagation Neural Network , 2012, Cognitive Computation.
[13] Z. Zeng,et al. Extreme learning machine for the displacement prediction of landslide under rainfall and reservoir level , 2014, Stochastic Environmental Research and Risk Assessment.
[14] L. F. Smoll,et al. Investigation of the origin and magnitude of debris flows from the Payhua Creek basin, Matucana area, Huarochirí Province, Perú , 2005 .
[15] Oldrich Hungr,et al. Estimating landslide motion mechanism, travel distance and velocity , 2005 .
[16] Junwei Ma,et al. Model testing of the spatial–temporal evolution of a landslide failure , 2017, Bulletin of Engineering Geology and the Environment.
[17] Indrajeet Chaubey,et al. A simplified approach to quantifying predictive and parametric uncertainty in artificial neural network hydrologic models , 2007 .
[18] Nicola Casagli,et al. A statistical-based approach for determining the intensity of unrest phases at Stromboli volcano (Southern Italy) using one-step-ahead forecasts of displacement time series , 2016, Natural Hazards.
[19] Jennifer Prestigiacomo,et al. A Hybrid Approach , 2018, How High the Sky?.
[20] Yi Qinglin,et al. Use of Monitoring Data to Interpret Active Landslide Movements and Hydrological Triggers in Three Gorges Reservoir , 2016 .
[21] Saeid Nahavandi,et al. A neural network-GARCH-based method for construction of Prediction Intervals , 2013 .
[22] K. Neaupane,et al. Use of backpropagation neural network for landslide monitoring: a case study in the higher Himalaya , 2004 .
[23] Enrico Zio,et al. Computing confidence and prediction intervals of industrial equipment degradation by bootstrapped support vector regression , 2015, Reliab. Eng. Syst. Saf..
[24] O. Hungr,et al. Landslide Risk Management , 2005 .
[25] Fei Ma,et al. Reservoir-induced landslides and risk control in Three Gorges Project on Yangtze River, China , 2016 .
[26] Kit Po Wong,et al. A Hybrid Approach for Probabilistic Forecasting of Electricity Price , 2014, IEEE Transactions on Smart Grid.
[27] Ying Cao,et al. Application of time series analysis and PSO–SVM model in predicting the Bazimen landslide in the Three Gorges Reservoir, China , 2016 .
[28] David Alexander,et al. Using an extreme learning machine to predict the displacement of step-like landslides in relation to controlling factors , 2016, Landslides.
[29] Baowei Wang,et al. Effect of boron addition on the MoO3/CeO2–Al2O3 catalyst in the sulfur-resistant methanation , 2017 .
[30] Wu Yiping,et al. Landslide stability analysis based on random-fuzzy reliability: taking Liangshuijing landslide as a case , 2014, Stochastic Environmental Research and Risk Assessment.
[31] Lu Shu-qian,et al. Analysis of deformation and failure mechanism of Shuping landslide in Three Gorges reservoir area , 2014 .
[32] Junwei Ma,et al. Identification of causal factors for the Majiagou landslide using modern data mining methods , 2017, Landslides.
[33] Suzanne Lacasse,et al. Displacement prediction in colluvial landslides, Three Gorges Reservoir, China , 2013, Landslides.
[34] David Evans,et al. Overview of methods , 2008 .
[35] Durga L. Shrestha,et al. Machine learning approaches for estimation of prediction interval for the model output , 2006, Neural Networks.
[36] PU Zi-jun. Landslide stability analysis and prevention case , 2012 .
[37] Saeid Nahavandi,et al. A prediction interval-based approach to determine optimal structures of neural network metamodels , 2010, Expert Syst. Appl..
[38] Kyoji Sassa,et al. Displacement Monitoring and Physical Exploration on the Shuping Landslide Reactivated by Impoundment of the Three Gorges Reservoir, China , 2005 .
[39] Hongde Wang,et al. Real-time monitoring and early warning of landslides at relocated Wushan Town, the Three Gorges Reservoir, China , 2010 .
[40] Laura Uusitalo,et al. An overview of methods to evaluate uncertainty of deterministic models in decision support , 2015, Environ. Model. Softw..
[41] Zhigang Zeng,et al. Multiple neural networks switched prediction for landslide displacement , 2015 .
[42] Zhigang Zeng,et al. Displacement prediction model of landslide based on a modified ensemble empirical mode decomposition and extreme learning machine , 2013, Natural Hazards.
[43] David Hinkley,et al. Bootstrap Methods: Another Look at the Jackknife , 2008 .
[44] Xinli Hu,et al. Establishment of a deformation forecasting model for a step-like landslide based on decision tree C5.0 and two-step cluster algorithms: a case study in the Three Gorges Reservoir area, China , 2017, Landslides.