Feed-forward vs recurrent neural network models for non-stationarity modelling using data assimilation and adaptivity

Journal article

Peer reviewed

V. Taver, A. Johannet, V. Borrell-Estupina and S. Pistre

Hydrological Sciences Journal, Vol.60(7-8), pp.1242--1265

2015

Abstract

non-stationarity

non-stationnarité

adaptabilité

adaptivity

assimilation de données

data assimilation

modèle de réseau neuronal

neural network model

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Title: Feed-forward vs recurrent neural network models for non-stationarity modelling using data assimilation and adaptivity
Creators - without role: V. Taver - IMT Mines Alès
A. Johannet - Laboratoire Génie Industriel
V. Borrell-Estupina - Université de Montpellier, Hydrosciences Montpellier - HSM
S. Pistre - Université de Montpellier, Hydrosciences Montpellier - HSM
Publication Details: Hydrological Sciences Journal, Vol.60(7-8), pp.1242--1265
Identifiers: 9938246109311
Academic Unit: Hydrosciences Montpellier - HSM
Language: English
Resource Type: Journal article
Local Fields: hal-02051939