Establishment of Landslide Groundwater Level Prediction Model Based on GA-SVM and Influencing Factor Analysis
出版年份 2020 全文链接
标题
Establishment of Landslide Groundwater Level Prediction Model Based on GA-SVM and Influencing Factor Analysis
作者
关键词
-
出版物
SENSORS
Volume 20, Issue 3, Pages 845
出版商
MDPI AG
发表日期
2020-02-06
DOI
10.3390/s20030845
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- (2019) Nader Karballaeezadeh et al. Engineering Applications of Computational Fluid Mechanics
- Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling
- (2019) Vu Nguyen et al. Forests
- Support Vector Regression Integrated with Fruit Fly Optimization Algorithm for River Flow Forecasting in Lake Urmia Basin
- (2019) Saeed Samadianfard et al. Water
- Earth fissure hazard prediction using machine learning models
- (2019) Bahram Choubin et al. ENVIRONMENTAL RESEARCH
- A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling
- (2018) Binh Thai Pham et al. Bulletin of Engineering Geology and the Environment
- Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China
- (2018) Chao Zhou et al. COMPUTERS & GEOSCIENCES
- Rainfall thresholds as a landslide indicator for engineered slopes on the Irish Rail network
- (2018) Karlo Martinović et al. GEOMORPHOLOGY
- Displacement prediction of step-like landslide by applying a novel kernel extreme learning machine method
- (2018) Chao Zhou et al. Landslides
- A novel method for landslide displacement prediction by integrating advanced computational intelligence algorithms
- (2018) Chao Zhou et al. Scientific Reports
- Analysis of Permafrost Region Coherence Variation in the Qinghai–Tibet Plateau with a High-Resolution TerraSAR-X Image
- (2018) Zhengjia Zhang et al. Remote Sensing
- Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters
- (2018) Sina Faizollahzadeh Ardabili et al. Energies
- Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters
- (2018) Shahaboddin Shamshirband et al. Engineering Applications of Computational Fluid Mechanics
- Classification of Multiple Chinese Liquors by Means of a QCM-based E-Nose and MDS-SVM Classifier
- (2017) Qiang Li et al. SENSORS
- Investigation and monitoring on a rainfall-induced deep-seated landslide
- (2016) Momo Zhi et al. Arabian Journal of Geosciences
- 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
- A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
- (2016) Binh Thai Pham et al. ENVIRONMENTAL MODELLING & SOFTWARE
- 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
- (2016) Dieu Tien Bui et al. International Journal of Digital Earth
- Prediction of landslide displacement based on GA-LSSVM with multiple factors
- (2015) Zhenglong Cai et al. Bulletin of Engineering Geology and the Environment
- Research on the displacement response ratio of groundwater dynamic augment and its application in evaluation of the slope stability
- (2015) He Keqiang et al. Environmental Earth Sciences
- Using an extreme learning machine to predict the displacement of step-like landslides in relation to controlling factors
- (2015) Ying Cao et al. Landslides
- 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
- (2015) Dieu Tien Bui et al. Landslides
- Performance evaluation of artificial neural network coupled with generic algorithm and response surface methodology in modeling and optimization of biodiesel production process parameters from shea tree (Vitellaria paradoxa) nut butter
- (2015) Eriola Betiku et al. RENEWABLE ENERGY
- Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification
- (2014) Jui-Sheng Chou et al. EXPERT SYSTEMS WITH APPLICATIONS
- Occurrence assessment of earth fissure based on genetic algorithms and artificial neural networks in Su-Xi-Chang land subsidence area, China
- (2014) Wenjing Zhang et al. GEOSCIENCES JOURNAL
- Integrating intensity–duration-based rainfall threshold and antecedent rainfall-based probability estimate towards generating early warning for rainfall-induced landslides in parts of the Garhwal Himalaya, India
- (2013) John Mathew et al. Landslides
- Impact of reservoir impoundment-caused groundwater level changes on regional slope stability: a case study in the Loess Plateau of Western China
- (2012) Maosheng Zhang et al. Environmental Earth Sciences
- Forecasting the movement direction of exchange rate with polynomial smooth support vector machine
- (2012) Yubo Yuan MATHEMATICAL AND COMPUTER MODELLING
- Displacement prediction model of landslide based on a modified ensemble empirical mode decomposition and extreme learning machine
- (2012) Cheng Lian et al. NATURAL HAZARDS
- Application and comparison of two prediction models for groundwater levels: A case study in Western Jilin Province, China
- (2008) Z.P. Yang et al. JOURNAL OF ARID ENVIRONMENTS
- Groundwater flow modeling for effective implementation of landslide stability enhancement measures
- (2008) H. K. Shrestha et al. Landslides
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