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。A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping
Seyed Amir Naghibi et al.
JOURNAL OF HYDROLOGY (2017)
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)
Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran
Omid Rahmati et al.
CATENA (2016)
Identification of Recharge Processes in Groundwater in Hard Rock Aquifers of Madurai District Using Stable Isotopes
C. Thivya et al.
ENVIRONMENTAL PROCESSES-AN INTERNATIONAL JOURNAL (2016)
Application of GIS-Based Evidential Belief Function Model to Regional Groundwater Recharge Potential Zones Mapping in Hardrock Geologic Terrain
K. A. Mogaji et al.
ENVIRONMENTAL PROCESSES-AN INTERNATIONAL JOURNAL (2016)
Assessing the Impacts of Climate Change on the Sustainability of Groundwater Aquifers. Application in Moudania Aquifer in N. Greece
Nicolaos Theodossiou
ENVIRONMENTAL PROCESSES-AN INTERNATIONAL JOURNAL (2016)
Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
Mahyat Shafapour Tehrany et al.
CATENA (2015)
A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping
Seyed Amir Naghibi et al.
WATER RESOURCES MANAGEMENT (2015)
Groundwater spring potential mapping using bivariate statistical model and GIS in the Taleghan Watershed, Iran
D. Davoodi Moghaddam et al.
ARABIAN JOURNAL OF GEOSCIENCES (2015)
Genetic Optimization Using Derivatives: ThergenoudPackage forR
Walter R. Mebane et al.
Journal of Statistical Software (2015)
Groundwater qanat potential mapping using frequency ratio and Shannon's entropy models in the Moghan watershed, Iran
Seyed Amir Naghibi et al.
EARTH SCIENCE INFORMATICS (2015)
Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
Mahyat Shafapour Tehrany et al.
JOURNAL OF HYDROLOGY (2014)
Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression
Taskin Kavzoglu et al.
LANDSLIDES (2014)
Groundwater potential modelling using remote sensing and GIS: a case study of the Al Dhaid area, United Arab Emirates
Samy Ismail Elmahdy et al.
GEOCARTO INTERNATIONAL (2014)
A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
Biswajeet Pradhan
COMPUTERS & GEOSCIENCES (2013)
Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues
F. Catani et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2013)
Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network model
Saro Lee et al.
HYDROGEOLOGY JOURNAL (2012)
Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naive Bayes Models
Dieu Tien Bui et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2012)
GIS-based groundwater spring potential mapping in the Sultan Mountains (Konya, Turkey) using frequency ratio, weights of evidence and logistic regression methods and their comparison
Adnan Ozdemir
JOURNAL OF HYDROLOGY (2011)
Using a binary logistic regression method and GIS for evaluating and mapping the groundwater spring potential in the Sultan Mountains (Aksehir, Turkey)
Adnan Ozdemir
JOURNAL OF HYDROLOGY (2011)
GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea
Hyun-Joo Oh et al.
JOURNAL OF HYDROLOGY (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)
The Application of Remote Sensing Technology to the Interpretation of Land Use for Rainfall-Induced Landslides Based on Genetic Algorithms and Artificial Neural Networks
Yie-Ruey Chen et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2009)
Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China
X. Yao et al.
GEOMORPHOLOGY (2008)
Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods
Gretchen G. Moisen et al.
ECOLOGICAL MODELLING (2006)
The parameter optimization in the inverse distance method by genetic algorithm for estimating precipitation
Chia-Ling Chang et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2006)
The use of genetic algorithms and Bayesian classification to model species distributions
M Termansen et al.
ECOLOGICAL MODELLING (2006)