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). - Archive ouverte HAL
Conference Papers Year : 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).

Thomas Darras
  • Function : Author
Hydrosciences Montpellier
Anne Johannet
Laboratoire de Génie de l'Environnement Industriel
CV
Séverin Pistre
Hydrosciences Montpellier
CV

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Continental interfaces, environment Hydrology

Matthieu Blanc  : Connect in order to contact the contributor

https://hal.science/hal-03311582

Submitted on : Sunday, August 1, 2021-3:58:58 PM

Last modification on : Tuesday, September 17, 2024-4:02:45 PM

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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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