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1 Ergebnisse
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Framework for developing hybrid process-driven, artificial ..:
Hunter, Jason M
;
Maier, Holger R
;
Gibbs, Matthew S
...
Hydrology and Earth System Sciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2100610 -- http://www.hydrol-earth-syst-sci.net/volumes_and_issues.html -- 1607-7938. , 2018
Link:
https://doi.org/10.5194/hess-22-2987-2018
RT Journal T1 <Title>Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00005955&Exemplar=1&LAN=DE A1 Hunter, Jason M A1 Maier, Holger R A1 Gibbs, Matthew S A1 Foale, Eloise R A1 Grosvenor, Naomi A A1 Harders, Nathan P A1 Kikuchi-Miller, Tahali C PB Copernicus Publications YR 2018 K1 article K1 Verlagsveröffentlichung JF Hydrology and Earth System Sciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2100610 -- http://www.hydrol-earth-syst-sci.net/volumes_and_issues.html -- 1607-7938 LK http://dx.doi.org/https://doi.org/10.5194/hess-22-2987-2018 DO https://doi.org/10.5194/hess-22-2987-2018 SF ELIB - SuUB Bremen
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