Using a kernel extreme learning machine with grey wolf optimization to predict the displacement of step-like landslide

Time series analysis and long short-term memory neural network to predict landslide displacement

(2019) Beibei Yang et al.   Landslides

Displacement prediction of Baijiabao landslide based on empirical mode decomposition and long short-term memory neural network in Three Gorges area, China

(2018) Shiluo Xu et al.   COMPUTERS & GEOSCIENCES

Daily Peak Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Support Vector Machine Optimized by Modified Grey Wolf Optimization Algorithm

(2018) Shuyu Dai et al.   Energies

Probabilistic forecasting of landslide displacement accounting for epistemic uncertainty: a case study in the Three Gorges Reservoir area, China

(2018) Junwei Ma et al.   Landslides

Displacement prediction of step-like landslide by applying a novel kernel extreme learning machine method

(2018) Chao Zhou et al.   Landslides

A non-uniform spatiotemporal kriging interpolation algorithm for landslide displacement data

(2018) Yong Liu et al.   Bulletin of Engineering Geology and the Environment

Grey wolf optimization evolving kernel extreme learning machine: Application to bankruptcy prediction

(2017) Mingjing Wang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

(2017) Faming Huang et al.   ENGINEERING GEOLOGY

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) Junwei Ma et al.   Landslides

Prediction of landslide displacement with step-like behavior based on multialgorithm optimization and a support vector regression model

(2017) Fasheng Miao et al.   Landslides

Template matching using grey wolf optimizer with lateral inhibition

(2017) Sen Zhang et al.   OPTIK

Rainfall data feature extraction and its verification in displacement prediction of Baishuihe landslide in China

(2016) Yong Liu et al.   Bulletin of Engineering Geology and the Environment

Economic dispatch using hybrid grey wolf optimizer

(2016) T. Jayabarathi et al.   ENERGY

Application of time series analysis and PSO–SVM model in predicting the Bazimen landslide in the Three Gorges Reservoir, China

(2016) Chao Zhou et al.   ENGINEERING GEOLOGY

Identification of causal factors for the Majiagou landslide using modern data mining methods

(2016) Junwei Ma et al.   Landslides

Binary grey wolf optimization approaches for feature selection

(2016) E. Emary et al.   NEUROCOMPUTING

Using the gray wolf optimizer for solving optimal reactive power dispatch problem

(2015) Mohd Herwan Sulaiman et al.   APPLIED SOFT COMPUTING

Prediction of landslide displacement based on GA-LSSVM with multiple factors

(2015) Zhenglong Cai et al.   Bulletin of Engineering Geology and the Environment

Multiple neural networks switched prediction for landslide displacement

(2015) Cheng Lian et al.   ENGINEERING GEOLOGY

Training enhanced reservoir computing predictor for landslide displacement

(2015) Wei Yao et al.   ENGINEERING GEOLOGY

Daily global solar radiation prediction from air temperatures using kernel extreme learning machine: A case study for Iran

(2015) Shahaboddin Shamshirband et al.   JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS

Using an extreme learning machine to predict the displacement of step-like landslides in relation to controlling factors

(2015) Ying Cao et al.   Landslides

Grey Wolf Optimizer for parameter estimation in surface waves

(2015) Xianhai Song et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Deformation response of the Huangtupo landslide to rainfall and the changing levels of the Three Gorges Reservoir

(2014) Huiming Tang et al.   Bulletin of Engineering Geology and the Environment

Estimation of rainfall-induced landslides using ANN and fuzzy clustering methods: A case study in Saeen Slope, Azerbaijan province, Iran

(2014) Y. Alimohammadlou et al.   CATENA

Boundary effects of rainfall-induced landslides

(2014) Abid Ali et al.   COMPUTERS AND GEOTECHNICS

Simulating the process of reservoir-impoundment-induced landslide using the extended DDA method

(2014) Yu-Yong Jiao et al.   ENGINEERING GEOLOGY

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

(2014) Fu Ren et al.   Environmental Earth Sciences

Prediction of changes in landslide rates induced by rainfall

(2014) S. Bernardie et al.   Landslides

A robust least squares support vector machine for regression and classification with noise

(2014) Xiaowei Yang et al.   NEUROCOMPUTING

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

(2014) Guang-Bin Huang   Cognitive Computation

Comparison on landslide nonlinear displacement analysis and prediction with computational intelligence approaches

(2013) Zaobao Liu et al.   Landslides

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

(2012) Biswajeet Pradhan   COMPUTERS & GEOSCIENCES

Displacement prediction in colluvial landslides, Three Gorges Reservoir, China

(2012) Juan Du et al.   Landslides

Displacement prediction model of landslide based on a modified ensemble empirical mode decomposition and extreme learning machine

(2012) Cheng Lian et al.   NATURAL HAZARDS

Prediction of time to slope failure: a general framework

(2011) A. Federico et al.   Environmental Earth Sciences

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Analysis of Baishuihe landslide influenced by the effects of reservoir water and rainfall

(2009) Deying Li et al.   Environmental Earth Sciences