Operational early warning systems for water-related hazards in Europe, Environmental Science & Policy, pp.35-49, 2012. ,
Les inondations en France du VIème siècle à nos jours, 1859. ,
Crues de la Liane, 2013. ,
Création de réseaux de neurones pour la prévision des crues. Stage de M2 Mathématiques Appliquées de l, 2007. ,
Neural network modelling of non-linear hydrological relationships, Hydrology and Earth System Sciences, vol.11, issue.5, pp.1563-1579, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00305094
, Neural Networks: Methodology and Applications, Softcover reprint of hardcover, 2005.
Multilayer Feedforward Networks Are Universal Approximators, Neural Networks, vol.2, pp.359-366, 1989. ,
Universal approximation bounds for superpositions of a sigmoidal function, IEEE Transactions on Information Theory, pp.930-945, 1993. ,
Neural networks and nonlinear adaptive filtering: unifying concepts and new algorithms, Neural Computation, vol.5, issue.2, pp.165-199, 1993. ,
Flash flood forecasting in poorly gauged basins using neural networks: case study of the Gardon de Mialet basin, Nat Hazards Earth Syst Sci, vol.12, issue.11, pp.3307-3324, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-02365588
Neural networks and the bias/variance dilemma, Neural Computation, vol.4, issue.1, pp.1-58, 1992. ,
Cross-validatory choice and assessment of statistical forecasting, Journal of the Royal Statistical Society, vol.36, pp.111-147, 1974. ,
Complexity selection of a neural network model for karst flood forecasting: The case of the Lez Basin (southern France), Journal of Hydrology, vol.403, pp.367-380, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00656598
Optimization of the generalization capability for rainfall-runoff modeling by neural networks: the case of the Lez aquifer (southern France), Environmental Earth Sciences, vol.65, issue.8, pp.2365-2375, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-02410326
Model complexity control for hydrologic prediction, Water Resource Research, vol.44, issue.12, pp.0-03, 2008. ,
Overtraining, regularization and searching for minimum in neural networks, Preprint IFAC Symposium on Adaptive Systems in Control and Signal Processing, 1994. ,
Training feedforward networks with the Marquardt algorithm, IEEE Trans. Neural Netw, vol.5, issue.6, pp.989-993, 1994. ,
Influence of the Initialization of Multilayer Perceptron for Flash Floods Forecasting: How Designing a Robust Model, Granada, ITISE Conference, pp.687-698, 2014. ,
Rainfall-runoff modeling of flash floods in the absence of rainfall forecasts: the case of "Cévenol flash floods, Journal of Applied Intelligence, vol.35, issue.2, pp.1078-189, 2011. ,
Neural networks for karst groundwater management: case of the Lez spring (Southern France), Environmental Earth Sciences, vol.74, issue.12, pp.7617-7632, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-02053378
River flow forecasting through conceptual models part I -A discussion of principles, Journal of hydrology, vol.10, issue.3, pp.282-290, 1970. ,
Real time forecasting with a conceptual hydrologic model, applications and results, Water Resources Research, vol.16, pp.1034-1044, 1980. ,
Which potential evapotranspiration input for a lumped rainfall-runoff model? Part 1-Can rainfall-runoff models effectively handle detailed potential evapotranspiration inputs, Journal of Hydrology, vol.303, pp.275-289, 2005. ,
URL : https://hal.archives-ouvertes.fr/hal-02584169
Which potential evapotranspiration input for a lumped rainfall-runoff model? Part 2-Towards a simple and efficient potential evapotranspiration model for rainfall-runoff modelling, Journal of Hydrology, vol.303, pp.290-306, 2005. ,
URL : https://hal.archives-ouvertes.fr/hal-02584170
Performance and complementarity of two systemic models (reservoir and neural networks) used to simulate spring discharge and piezometry for a karst aquifer, Journal of Hydrology, vol.519, pp.3178-3192, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-02047991