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Anne Johannet
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Documents
Identifiants chercheurs
- anne-johannet
- ResearcherId : K-9701-2016
- IdRef : 16600376X
- 0000-0001-5717-9871
- ResearcherId : http://www.researcherid.com/rid/K-9701-2016
Présentation
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Karst-aquifer operational turbidity forecasting by neural networks and the role of complexity in designing the model: a case study of the Yport basin in Normandy (France)Hydrogeology Journal, 2021, Special Issue "Five decades of advances in karst hydrogeology", ⟨10.1007/s10040-020-02277-w⟩
Article dans une revue
hal-03105289v1
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SNO KARST: A French Network of Observatories for the Multidisciplinary Study of Critical Zone Processes in Karst Watersheds and AquifersVadose Zone Journal, 2018, 17 (1), ⟨10.2136/vzj2018.04.0094⟩
Article dans une revue
hal-01966716v1
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Operational Turbidity Forecast Using Both Recurrent and Feed-Forward Based Multilayer PerceptronsADVANCES IN TIME SERIES ANALYSIS AND FORECASTING, Jun 2016, Grenade, Spain. pp.243-256, ⟨10.1007/978-3-319-55789-2_17⟩
Communication dans un congrès
hal-02914632v1
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Limits in Using Multiresolution Analysis to Forecast Turbidity by Neural Networks. Case Study on the Yport Basin, Normandie-FranceEurokarst 2018, Besançon, pp.129-135, 2020, 978-3-030-14015-1. ⟨10.1007/978-3-030-14015-1_15⟩
Chapitre d'ouvrage
hal-03137673v1
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