A tree-based intelligence ensemble approach for spatial prediction of potential groundwater

A tree-based intelligence ensemble approach for spatial prediction of potential groundwater

The objective of this research is to propose and confirm a new machine learning approach of Best-First tree (BFtree), AdaBoost (AB), MultiBoosting (MB), and Bagging (Bag) ensembles for potential groundwater mapping and assessing role of influencing factors. The Yasuj-Dena area (Iran) is selected as...

Full description

Bibliographic Details
Main Authors: Mohammadtaghi Avand, Saeid Janizadeh, Dieu Tien Bui, Viet Hoa Pham, Phuong Thao T. Ngo, Viet-Ha Nhu
Format: Article
Language:English
Published: Taylor & Francis Group 2020-12-01
Series:International Journal of Digital Earth
Subjects:
environmental modeling
groundwater potential
gis
ensemble model
decision tree
Online Access:http://dx.doi.org/10.1080/17538947.2020.1718785

Internet

http://dx.doi.org/10.1080/17538947.2020.1718785

Similar Items