Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction
Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction
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Publisher
Dordrecht: Springer Netherlands
Journal title
Language
English
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Publication information
Publisher
Dordrecht: Springer Netherlands
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Scope and Contents
Contents
Due to the rapidly increasing demand for groundwater, as one of the principal freshwater resources, there is an urge to advance novel prediction systems to more accurately estimate the groundwater potential for an informed groundwater resource management. Ensemble machine learning methods are generally reported to produce more accurate results. How...
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Full title
Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction
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Record Identifier
TN_cdi_proquest_journals_2478666546
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2478666546
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ISSN
0920-4741
E-ISSN
1573-1650
DOI
10.1007/s11269-020-02704-3
