Taking profit of statistical modelling by neural networks: how to deal with vigilance levels prediction for flash flooding. Case study on Lez Basin (South eastern France).

Thomas Darras; Anne Johannet; Séverin Pistre

Communication Dans Un Congrès Année : 2018

Taking profit of statistical modelling by neural networks: how to deal with vigilance levels prediction for flash flooding. Case study on Lez Basin (South eastern France).

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Thomas Darras

Fonction : Auteur

Hydrosciences Montpellier

Anne Johannet

Fonction : Auteur
PersonId : 179889
IdHAL : anne-johannet
ORCID : 0000-0001-5717-9871
IdRef : 16600376X

Laboratoire de Génie de l'Environnement Industriel

CV

Séverin Pistre

Fonction : Auteur
PersonId : 21025
IdHAL : severin-pistre
ORCID : 0000-0002-6301-8801
IdRef : 084033789

Hydrosciences Montpellier

CV

Domaines

Interfaces continentales, environnement Hydrologie

Matthieu Blanc : Connectez-vous pour contacter le contributeur

https://hal.science/hal-03311582

Soumis le : dimanche 1 août 2021-15:58:58

Dernière modification le : lundi 2 décembre 2024-14:48:12

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hal-03311582 , version 1 (01-08-2021)

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HAL Id : hal-03311582 , version 1

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Thomas Darras, Anne Johannet, Séverin Pistre. Taking profit of statistical modelling by neural networks: how to deal with vigilance levels prediction for flash flooding. Case study on Lez Basin (South eastern France).. EGU 16th Plinius conference on Mediterranean risks, Oct 2018, Montpellier, France. ⟨hal-03311582⟩

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Taking profit of statistical modelling by neural networks: how to deal with vigilance levels prediction for flash flooding. Case study on Lez Basin (South eastern France).

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