Optimized conditioning factors using machine learning techniques for groundwater potential mapping

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Optimized conditioning factors using machine learning techniques for groundwater potential mapping

Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods—Variance Inflation Factor (VIF), Chi-Square Factor Optimization, and...

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Bibliographic Details
Main Authors:	Kalantar, Bahareh, Al-Najjar, Husam A. H., Pradhan, Biswajeet, Saeidi, Vahideh, Abdul Halin, Alfian, Ueda, Naonori, Naghibi, Seyed Amir
Format:	Article
Language:	English
Published:	MDPI 2019
Online Access:	http://psasir.upm.edu.my/id/eprint/38259/ http://psasir.upm.edu.my/id/eprint/38259/1/38259.pdf

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