Comparison between inverse modelling and data assimilation to estimate rainfall from runoff using the multilayer perceptron

Autor: Dominique Bertin, Marc Vinches, Virgile Taver, Anne Johannet, Séverin Pistre, Valérie Borrell Estupina

Publikováno v: 2015 International Joint Conference on Neural Networks (IJCNN)
2015 International Joint Conference on Neural Networks (IJCNN), Jul 2015, Killarney, Ireland. pp.1-8, ⟨10.1109/IJCNN.2015.7280427⟩
IJCNN

The ability of the multilayer perceptron to model the inverse relation of a fictitious watershed is investigated. Comparison is done between a new formulation of data assimilation and the standard multilayer perceptron applied to three kinds of model

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db7d4a8eee613b4627277477802715d2
https://hal.archives-ouvertes.fr/hal-02140338

Les réseaux de neurones artificiels pour la modélisation hydrodynamique des aquifères karstiques : présentation générale et illustrations

Autor: B. Vayssade, Anne Johannet, Line Kong-A-Siou, Séverin Pistre, Alain Mangin, Dominique Bertin, Marc Vinches, Virgile Taver, Valérie Borrell

Publikováno v: Périodiques Scientifiques en Édition Électronique.

Artificial neural networks for hydrodynamic modeling of karst aquifers : overview and illustrations. Karst aquifers provide fresh water for about 25 % of the global population. Around the Mediterranean Sea, they are sometimes considered as natural wa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cc2865fe32268fb748cfc3d5ced7990
https://www.persee.fr/doc/karst_0751-7688_2012_num_60_1_2728