Groundwater level prediction using machine learning models: A comprehensive review

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Groundwater level prediction using machine learning models: A comprehensive review

Developing accurate soft computing methods for groundwater level (GWL) forecasting is essential for enhancing the planning and management of water resources. Over the past two decades, significant progress has been made in GWL prediction using machine learning (ML) models. Several review articles ha...

書誌詳細
出版年:	Neurocomputing
第一著者:	Tao H.; Hameed M.M.; Marhoon H.A.; Zounemat-Kermani M.; Heddam S.; Sungwon K.; Sulaiman S.O.; Tan M.L.; Sa'adi Z.; Mehr A.D.; Allawi M.F.; Abba S.I.; Zain J.M.; Falah M.W.; Jamei M.; Bokde N.D.; Bayatvarkeshi M.; Al-Mukhtar M.; Bhagat S.K.; Tiyasha T.; Khedher K.M.; Al-Ansari N.; Shahid S.; Yaseen Z.M.
フォーマット:	Short survey
言語:	English
出版事項:	Elsevier B.V. 2022
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126854743&doi=10.1016%2fj.neucom.2022.03.014&partnerID=40&md5=5e95b9575d5950f1af161383a5fd77ee

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