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Assessing the suitability of extreme learning machines (ELM..:
Yadav Basant
;
Ch Sudheer
;
Mathur Shashi
.
http://www.degruyter.com/view/j/jwld.2017.32.issue-1/jwld-2017-0012/jwld-2017-0012.xml?format=INT. , 2017
Link:
https://doi.org/10.1515/jwld-2017-0012
RT Journal T1 <Title>Assessing the suitability of extreme learning machines (ELM) for groundwater level prediction</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:1b23b48f43544285ac90b0015175a669&Exemplar=1&LAN=DE A1 Yadav Basant A1 Ch Sudheer A1 Mathur Shashi A1 Adamowski Jan PB Polish Academy of Sciences YR 2017 K1 extreme learning machine (ELM) K1 forecasting K1 groundwater level K1 support vector machine (SVM) K1 water resource management K1 River K1 lake K1 and water-supply engineering (General) K1 TC401-506 K1 Irrigation engineering. Reclamation of wasteland. Drainage K1 TC801-978 JF http://www.degruyter.com/view/j/jwld.2017.32.issue-1/jwld-2017-0012/jwld-2017-0012.xml?format=INT LK http://dx.doi.org/https://doi.org/10.1515/jwld-2017-0012 DO https://doi.org/10.1515/jwld-2017-0012 SF ELIB - SuUB Bremen
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