相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer
Wei Chen et al.
GEOSCIENCE FRONTIERS (2021)
GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods
Xi Chen et al.
CATENA (2021)
Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
Jie Dou et al.
LANDSLIDES (2020)
Slow-moving landslides: kinematic analysis and movement evolution modeling
K. Kavoura et al.
ENVIRONMENTAL EARTH SCIENCES (2020)
A hybrid model considering spatial heterogeneity for landslide susceptibility mapping in Zhejiang Province, China
Yumiao Wang et al.
CATENA (2020)
Landslide Susceptibility Evaluation Using Hybrid Integration of Evidential Belief Function and Machine Learning Techniques
Yang Li et al.
WATER (2020)
Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping
Guirong Wang et al.
SYMMETRY-BASEL (2020)
GIS-Based Evaluation of Landslide Susceptibility Models Using Certainty Factors and Functional Trees-Based Ensemble Techniques
Xia Zhao et al.
APPLIED SCIENCES-BASEL (2020)
Spatial Prediction of Landslide Susceptibility Based on GIS and Discriminant Functions
Guirong Wang et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)
Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping
Wei Chen et al.
JOURNAL OF HYDROLOGY (2020)
Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques
Mohammad Mehrabi et al.
SENSORS (2020)
Suitability of data preprocessing methods for landslide displacement forecasting
Zongxing Zou et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2020)
Comparative performance of new hybrid ANFIS models in landslide susceptibility mapping
Sina Paryani et al.
NATURAL HAZARDS (2020)
Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
Abdelaziz Merghadi et al.
EARTH-SCIENCE REVIEWS (2020)
National-Scale Landslide Susceptibility Mapping in Austria Using Fuzzy Best-Worst Multi-Criteria Decision-Making
Meisam Moharrami et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)
Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis
Xinxiang Lei et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)
A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility
Alireza Arabameri et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
Xinxiang Lei et al.
REMOTE SENSING (2020)
Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation
Xia Zhao et al.
REMOTE SENSING (2020)
GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models
Wei Chen et al.
CATENA (2020)
Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping
Haoyuan Hong et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling
Vu Viet Nguyen et al.
FORESTS (2019)
Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
Abolfazl Jaafari et al.
CATENA (2019)
Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
Binh Thai Pham et al.
CATENA (2019)
Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors
Xiangang Luo et al.
PLOS ONE (2019)
Improving GIS-Based Landslide Susceptibility Assessments with Multi-temporal Remote Sensing and Machine Learning
Jhe-Syuan Lai et al.
SENSORS (2019)
Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
Omid Ghorbanzadeh et al.
REMOTE SENSING (2019)
An Experimental Research on the Use of Recurrent Neural Networks in Landslide Susceptibility Mapping
Begum Mutlu et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)
Potential of hybrid evolutionary approaches for assessment of geo-hazard landslide susceptibility mapping
Hoang Nguyen et al.
GEOMATICS NATURAL HAZARDS & RISK (2019)
Analysis and evaluation of landslide susceptibility: a review on articles published during 2005-2016 (periods of 2005-2012 and 2013-2016)
Hamid Reza Pourghasemi et al.
ARABIAN JOURNAL OF GEOSCIENCES (2018)
Prediction of the landslide susceptibility: Which algorithm, which precision?
Hamid Reza Pourghasemi et al.
CATENA (2018)
Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China
Chao Zhou et al.
COMPUTERS & GEOSCIENCES (2018)
A review of statistically-based landslide susceptibility models
Paola Reichenbach et al.
EARTH-SCIENCE REVIEWS (2018)
Developing a landslide susceptibility map based on remote sensing, fuzzy logic and expert knowledge of the Island of Lefkada, Greece
Paraskevas Tsangaratos et al.
ENVIRONMENTAL EARTH SCIENCES (2018)
Bagging based Support Vector Machines for spatial prediction of landslides
Binh Thai Pham et al.
ENVIRONMENTAL EARTH SCIENCES (2018)
Comparison and evaluation of landslide susceptibility maps obtained from weight of evidence, logistic regression, and artificial neural network models
Christos Polykretis et al.
NATURAL HAZARDS (2018)
A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping
Omid Ghorbanzadeh et al.
NATURAL HAZARDS (2018)
Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of na⟨ve bayes, multilayer perceptron neural networks, and functional trees methods
Binh Thai Pham et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2017)
Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine
Faming Huang et al.
ENGINEERING GEOLOGY (2017)
Shallow landslide susceptibility assessment using a novel hybrid intelligence approach
Ataollah Shirzadi et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
Mapping landslide susceptibility using data-driven methods
J. L. Zezere et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2017)
Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling
Wei Chen et al.
CATENA (2017)
A novel genetic algorithm for optimization of conditioning factors in shallow translational landslides and susceptibility mapping
Long Li et al.
ARABIAN JOURNAL OF GEOSCIENCES (2017)
Landslide susceptibility mapping using a modified decision tree classifier in the Xanthi Perfection, Greece
Paraskevas Tsangaratos 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)
Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia
Ahmed Mohamed Youssef et al.
LANDSLIDES (2016)
Fuzzy Shannon Entropy: A Hybrid GIS-Based Landslide Susceptibility Mapping Method
Majid Shadman Roodposhti et al.
ENTROPY (2016)
Evaluation of different models in rainfall-triggered landslide susceptibility mapping: a case study in Chunan, southeast China
Hangjian Feng et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
Binh Thai Pham et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2016)
Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam
Dieu Tien Bui et al.
INTERNATIONAL JOURNAL OF DIGITAL EARTH (2016)
Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS
Dieu Tien Bui et al.
JOURNAL OF HYDROLOGY (2016)
A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China
Xianyu Yu et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2016)
A new hybrid model using step-wise weight assessment ratio analysis (SWAM) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide hazard assessment in Iran
Alireza Dehnavi et al.
CATENA (2015)
Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling
J. N. Goetz et al.
COMPUTERS & GEOSCIENCES (2015)
Selecting optimal conditioning factors in shallow translational landslide susceptibility mapping using genetic algorithm
Taskin Kavzoglu et al.
ENGINEERING GEOLOGY (2015)
Spatial and temporal analysis of a global landslide catalog
Dalia Kirschbaum et al.
GEOMORPHOLOGY (2015)
Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: A case of the Bence River basin (western Sicily, Italy)
Christian Conoscenti et al.
GEOMORPHOLOGY (2015)
An uncertainty and sensitivity analysis approach for GIS-based multicriteria landslide susceptibility mapping
Bakhtiar Feizizadeh et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2014)
Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models
Vahid Nourani et al.
NATURAL HAZARDS (2014)
Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale
Mustafa Neamah Jebur et al.
REMOTE SENSING OF ENVIRONMENT (2014)
GIS Supported Landslide Susceptibility Modeling at Regional Scale: An Expert-Based Fuzzy Weighting Method
Christos Chalkias et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2014)
Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms
Mohammad Zare et al.
ARABIAN JOURNAL OF GEOSCIENCES (2013)
A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey
Adnan Ozdemir et al.
JOURNAL OF ASIAN EARTH SCIENCES (2013)
Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran
Hamid Reza Pourghasemi et al.
JOURNAL OF EARTH SYSTEM SCIENCE (2013)
Logistic regression applied to natural hazards: rare event logistic regression with replications
M. Guns et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2012)
Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area
Hyun-Joo Oh et al.
COMPUTERS & GEOSCIENCES (2011)
Reliability analysis using radial basis function networks and support vector machines
Xiao-hui Tan et al.
COMPUTERS AND GEOTECHNICS (2011)
Housing price forecasting based on genetic algorithm and support vector machine
Gu Jirong et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine
Isik Yilmaz
ENVIRONMENTAL EARTH SCIENCES (2010)
Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling
Biswajeet Pradhan et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2010)
Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA
Netra R. Regmi et al.
GEOMORPHOLOGY (2010)
Landslide Susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches
B. Pradhan
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING (2010)
Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
H. A. Nefeslioglu et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2010)
Assessment of earthquake-triggered landslide susceptibility in El Salvador based on an Artificial Neural Network model
M. J. Garcia-Rodriguez et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2010)
Guidelines for landslide susceptibility, hazard and risk-zoning for land use planning
Robin Fell et al.
ENGINEERING GEOLOGY (2008)
An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps
H. A. Nefeslioglu et al.
ENGINEERING GEOLOGY (2008)
Support vector machines with applications
Javier M. Moguerza et al.
STATISTICAL SCIENCE (2006)
Landslide hazard and risk zonation - why is it still so difficult?
C. J. van Westen et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2006)
Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela
H Gómez et al.
ENGINEERING GEOLOGY (2005)
The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan
L Ayalew et al.
GEOMORPHOLOGY (2005)
The effect of spatial resolution on the accuracy of landslide susceptibility mapping: a case study in Boun, Korea
S Lee et al.
GEOSCIENCES JOURNAL (2004)
Landslide risk assessment and management: an overview
FC Dai et al.
ENGINEERING GEOLOGY (2002)