Related references
Note: Only part of the references are listed.Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors
Zhilu Chang et al.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2023)
Monitoring tilting angle of the slope surface to predict loess fall landslide: an on-site evidence from Heifangtai loess fall landslide in Gansu Province, China
Honghui Wang et al.
LANDSLIDES (2022)
Improving the performance of LSSVM model in predicting the safety factor for circular failure slope through optimization algorithms
Fan Zeng et al.
ENGINEERING WITH COMPUTERS (2022)
Probabilistic slope stability analysis: state-of-the-art review and future prospects
Rubi Chakraborty et al.
INNOVATIVE INFRASTRUCTURE SOLUTIONS (2022)
Training of the feed forward artificial neural networks using dragonfly algorithm
Saban Gulcu
APPLIED SOFT COMPUTING (2022)
Regional rainfall-induced landslide hazard warning based on landslide susceptibility mapping and a critical rainfall threshold
Faming Huang et al.
GEOMORPHOLOGY (2022)
Stability evaluation of finite soil slope in front of piles in landslide with displacement-based method
Junfeng Jiang et al.
LANDSLIDES (2022)
Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies
Faming Huang et al.
REMOTE SENSING (2022)
PSO-SVM-based deep displacement prediction of Majiagou landslide considering the deformation hysteresis effect
Lei Zhang et al.
LANDSLIDES (2021)
QPSO algorithm based on Levy flight and its application in fuzzy portfolio
Xiao-li Lu et al.
APPLIED SOFT COMPUTING (2021)
An improved QPSO algorithm and its application in fuzzy portfolio model with constraints
Guang He et al.
SOFT COMPUTING (2021)
A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction
Faming Huang et al.
LANDSLIDES (2020)
Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
Zhilu Chang et al.
REMOTE SENSING (2020)
Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping
Faming Huang et al.
CATENA (2020)
Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model
Faming Huang et al.
LANDSLIDES (2020)
Separating Landslide Source and Runout Signatures with Topographic Attributes and Data Mining to Increase the Quality of Landslide Inventory
Jhe-Syuan Lai
APPLIED SCIENCES-BASEL (2020)
A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm
Wu Deng et al.
SOFT COMPUTING (2019)
Three-dimensional stability of compound slope using limit analysis method
Long Wang et al.
CANADIAN GEOTECHNICAL JOURNAL (2019)
Short-term wind speed forecasting based on improved ant colony algorithm for LSSVM
Yanan Li et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2019)
Susceptibility of reservoir-induced landslides and strategies for increasing the slope stability in the Three Gorges Reservoir Area: Zigui Basin as an example
Changdong Li et al.
ENGINEERING GEOLOGY (2019)
Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories
Jian Zhou et al.
SAFETY SCIENCE (2019)
Quantum-Behaved Particle Swarm Optimization with Weighted Mean Personal Best Position and Adaptive Local Attractor
Shouwen Chen
INFORMATION (2019)
Improved least squares support vector machine based on metric learning
Dewei Li et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery
Phan Thanh Noi et al.
SENSORS (2018)
Particle swarm optimization algorithm: an overview
Dongshu Wang et al.
SOFT COMPUTING (2018)
Modelling of spatial variability of soil undrained shear strength by conditional random fields for slope reliability analysis
Shui-Hua Jiang et al.
APPLIED MATHEMATICAL MODELLING (2018)
T-wave end detection using neural networks and Support Vector Machines
Alexander Alexeis Suarez-Leon et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2018)
Least Squares Support Vector Mechanics to Predict the Stability Number of Rubble-Mound Breakwaters
Nuray Gedik
WATER (2018)
Implementation of soft computing approaches for prediction of physicochemical properties of ionic liquid mixtures
Saeid Atashrouz et al.
KOREAN JOURNAL OF CHEMICAL ENGINEERING (2017)
STUDY ON CUTTING HIGH-SLOPE STABILITY EVALUATION BASED ON FUZZY COMPREHENSIVE EVALUATION METHOD AND NUMERICAL SIMULATION
Xiaodong Yan
TEHNICKI VJESNIK-TECHNICAL GAZETTE (2017)
Landslide displacement prediction using the GA-LSSVM model and time series analysis: a case study of Three Gorges Reservoir, China
Tao Wen et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2017)
3D stability analysis method of concave slope based on the Bishop method
Zhang Tianwen et al.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2017)
Landslide susceptibility assessment using maximum entropy model with two different data sampling methods
Aiding Kornejady et al.
CATENA (2017)
Modeling landslide susceptibility over large regions with fuzzy overlay
Dalia Kirschbaum et al.
LANDSLIDES (2016)
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
Dieu Tien Bui et al.
LANDSLIDES (2016)
Rock slope stability analyses using extreme learning neural network and terminal steepest descent algorithm
A. J. Li et al.
AUTOMATION IN CONSTRUCTION (2016)
Prediction of the temperature in a Chinese solar greenhouse based on LSSVM optimized by improved PSO
Huihui Yu et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2016)
System reliability analysis of slopes using least squares support vector machines with particle swarm optimization
Fei Kang et al.
NEUROCOMPUTING (2016)
Determination of rock depth using artificial intelligence techniques
R. Viswanathan et al.
GEOSCIENCE FRONTIERS (2016)
Landslide hazard mapping considering rainfall probability in Inje, Korea
M. J. Lee et al.
GEOMATICS NATURAL HAZARDS & RISK (2016)
Slope stability analysis based on quantum-behaved particle swarm optimization and least squares support vector machine
Bo Li et al.
APPLIED MATHEMATICAL MODELLING (2015)
Bayesian updating for one-dimensional consolidation measurements
Richard Kelly et al.
CANADIAN GEOTECHNICAL JOURNAL (2015)
Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm
Jiansheng Wu et al.
NEUROCOMPUTING (2015)
Stability analysis of rock slope based on an abstraction ant colony clustering algorithm
Wei Gao
ENVIRONMENTAL EARTH SCIENCES (2015)
A Comprehensive Review of Swarm Optimization Algorithms
Mohd Nadhir Ab Wahab et al.
PLOS ONE (2015)
Determination of the equilibrated calcium carbonate (calcite) scaling in aqueous phase using a reliable approach
Arash Kamari et al.
JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS (2014)
Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal
P. Kayastha et al.
COMPUTERS & GEOSCIENCES (2013)
Updating and tuning a regional-scale landslide early warning system
D. Lagomarsino et al.
LANDSLIDES (2013)
An evolutionary programming based asymmetric weighted least squares support vector machine ensemble learning methodology for software repository mining
Lean Yu
INFORMATION SCIENCES (2012)
Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point
Jun Sun et al.
APPLIED MATHEMATICS AND COMPUTATION (2011)
Reliability analysis using radial basis function networks and support vector machines
Xiao-hui Tan et al.
COMPUTERS AND GEOTECHNICS (2011)
Hybrid model based on wavelet support vector machine and modified genetic algorithm penalizing Gaussian noises for power load forecasts
Qi Wu
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Hybrid forecasting model based on support vector machine and particle swarm optimization with adaptive and Cauchy mutation
Qi Wu
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Evaluation of slope stability with topography and slope stability analysis method
Kyung-Seob Cha et al.
KSCE JOURNAL OF CIVIL ENGINEERING (2011)
Utilization of a least square support vector machine (LSSVM) for slope stability analysis
P. Samui et al.
SCIENTIA IRANICA (2011)
A perturbed particle swarm algorithm for numerical optimization
Zhao Xinchao
APPLIED SOFT COMPUTING (2010)
Hybrid modeling of penicillin fermentation process based on least square support vector machine
Xianfang Wang et al.
CHEMICAL ENGINEERING RESEARCH & DESIGN (2010)
Geomechanical parameters identification by particle swarm optimization and support vector machine
Hong-bo Zhao et al.
APPLIED MATHEMATICAL MODELLING (2009)
Probabilistic stability analyses of slopes using the ANN-based response surface
Sung Eun Cho
COMPUTERS AND GEOTECHNICS (2009)
Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design
Sidhartha Panda et al.
APPLIED SOFT COMPUTING (2008)
Slope stability analysis: a support vector machine approach
Pijush Samui
ENVIRONMENTAL GEOLOGY (2008)
Fixed-size least squares support vector machines: a large scale application in electrical load forecasting
Marcelo Espinoza et al.
COMPUTATIONAL MANAGEMENT SCIENCE (2006)
Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data
J Mourao-Miranda et al.
NEUROIMAGE (2005)
A study of slope stability prediction using neural networks
M. Sakellariou et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2005)
An assessment of support vector machines for land cover classification
C Huang et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2002)
Share Paper
