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...

書目詳細資料
發表在:	Neurocomputing
主要作者:	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.
格式:	Short survey
語言:	English
出版:	Elsevier B.V. 2022
在線閱讀:	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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