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自然资源管理
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1.
Evaluation of four supervised learning methods for groundwater spring potential mapping in Khalkhal region (Iran) using GIS-based features
作者:
Seyed
Amir
Naghibi
;
Mostafa Moradi Dashtpagerdi
关键词:
R statistical software
;
Groundwater exploration
;
Groundwater management
;
Geographic information system
;
Iran
刊名:Hydrogeology Journal
出版者:Springer Berlin Heidelberg
年:2017
2.
GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
作者:
Seyed
Amir
Naghibi
;
Hamid Reza Pourghasemi…
关键词:
Spring potential mapping
;
Boosted regression tree
;
Classification and regression tree
;
Random forest
;
GIS
;
Iran
刊名:Environmental Monitoring and Assessment
出版者:Springer Netherlands
年:2016
3.
A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping
作者:
Seyed
Amir
Naghibi
;
Hamid Reza Pourghasemi
关键词:
Groundwater potential mapping
;
Boosted regression tree
;
Classification and regression tree
;
Random forest
;
General linear model
;
Evidential belief function
;
GIS
刊名:Water Resources Management
出版者:Springer Netherlands
年:2015
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