Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping

Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping

Groundwater potential maps are one of the most important tools for the management of groundwater storage resources. In this study, we proposed four ensemble soft computing models based on logistic regression (LR) combined with the dagging (DLR), bagging (BLR), random subspace (RSSLR), and cascade ge...

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Bibliographic Details
Main Authors: Phong Tung Nguyen, Duong Hai Ha, Mohammadtaghi Avand, Abolfazl Jaafari, Huu Duy Nguyen, Nadhir Al-Ansari, Tran Van Phong, Rohit Sharma, Raghvendra Kumar, Hiep Van Le, Lanh Si Ho, Indra Prakash, Binh Thai Pham
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Applied Sciences
Subjects:
machine learning
ensemble modeling
dagging
bagging
random subspace
cascade generalization
Online Access:https://www.mdpi.com/2076-3417/10/7/2469

Internet

https://www.mdpi.com/2076-3417/10/7/2469

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