Comparative Assessment of Machine Learning Models for Groundwater Quality Prediction Using Various ParametersComparative Assessment of Machine Learning Models for Groundwater Quality Prediction Using Various ParametersNiazkar et al.

被引：0

作者：

Majid Niazkar ^{[1
]}

Reza Piraei ^{[2
]}

Mohammad Reza Goodarzi ^{[3
]}

Mohammad Javad Abedi ^{[4
]}

机构：

[1] Euro-Mediterranean Center On Climate Change,Department of Civil Engineering

[2] Ca ‘Foscari University of Venice,Department of Civil Engineering, Faulty of Engineering

[3] Shiraz University,Department of Civil Engineering

[4] Ferdowsi University of Mashhad,Department of Civil Engineering, Water Resources Management Engineering

[5] Yazd University,undefined

[6] Yazd University,undefined

来源：

关键词：

Groundwater quality index; Water quality parameters; Machine learning; Multi-gene genetic programming; XGBoost;

D O I：

10.1007/s40710-025-00751-9

中图分类号：

学科分类号：

摘要：

引用