Výsledky vyhledávání - "RESEAU DE NEURONES"

Prédictions orientées données du système de Lorenz

Autor: Laurent Planckaert, Laurent Perret, Thomas Gomez, Pierre Dubois

Publikováno v: Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena, Elsevier, 2020, 408, pp.132495. ⟨10.1016/j.physd.2020.132495⟩
Physica D: Nonlinear Phenomena, 2020, 408, pp.132495. ⟨10.1016/j.physd.2020.132495⟩

International audience; This paper investigates the use of a data-driven method to model the dynamics of the chaotic Lorenz system. An architecture based on a recurrent neural network with long and short term dependencies predicts multi-step ahead th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::390b65d00acc6547428ebc7b0c2534c9
https://hal.archives-ouvertes.fr/hal-02475962v2/file/DAAA19190.1587487898_postprint.pdf

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Data-driven predictions of the Lorenz system

Autor: Dubois, Pierre, Gomez, Thomas, Planckaert, Laurent, Perret, Laurent

This paper investigates the use of a data-driven method to model the dynamics of the chaotic Lorenz system. An architecture based on a recurrent neural network with long and short term dependencies predicts multi-step ahead the position and velocity

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::433e14bc501172118569f6a425341bcf
https://hal.archives-ouvertes.fr/hal-02475962

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Multiple-Hour-Ahead Forecast of the Dst Index Using a Combination of Long Short-Term Memory Neural Network and Gaussian Process

Autor: Mandar Chandorkar, Angélica Sicard, Marina A. Gruet, Enrico Camporeale

Publikováno v: Space Weather: The International Journal of Research and Applications
Space Weather: The International Journal of Research and Applications, American Geophysical Union (AGU), 2018, 16 (11), pp.1882-1896. ⟨10.1029/2018sw001898⟩
Space Weather, 16(11), 1882-1896

International audience; In this study, we present a method that combines a Long Short-Term Memory (LSTM) recurrent neural network with a Gaussian Process (GP) model to provide up to 6-hour ahead probabilistic forecasts of the Dst geomagnetic index. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70a553ba633e9b48c0584cc4cc61f9b8
https://doi.org/10.1029/2018sw001898

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Akademický článek

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Dissertation/ Thesis

Robust Learning of a depth map for obstacle avoidance with a monocular stabilized flying camera

Autor: Pinard, Clément

Le drone orienté grand public est principalement une caméra volante, stabilisée et de bonne qualité. Ceux-ci ont démocratisé la prise de vue aérienne, mais avec leur succès grandissant, la notion de sécurité est devenue prépondérante.Ce t

Externí odkaz: http://www.theses.fr/2019SACLY003/document

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Apprentissage robuste d'une carte de profondeur pour l'évitement d'obstacle dans le cas des cameras volantes, monoculaires et stabilisées

Autor: Pinard, Clément

Publikováno v: Computer Vision and Pattern Recognition [cs.CV]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLY003⟩

Customer unmanned aerial vehicles (UAVs) are mainly flying cameras. They democratized aerial footage, but with thei success came security concerns.This works aims at improving UAVs security with obstacle avoidance, while keeping a smooth flight. In t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::4f28b93e317efb1e9ac329e287c61003
https://pastel.archives-ouvertes.fr/tel-02285215

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La révolution de l’apprentissage profond

Autor: Bengio, Yoshua

Publikováno v: Interstices
Interstices, INRIA, 2019

National audience; Reconnaître un visage, compléter une phrase, gagner au jeu de go... Après plusieurs décennies de déconvenues, les machines intelligentes deviennent enfin réalité – grâce à des réseaux de plusieurs couches de neurones ar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2a150e92631a8368f44ec73eb3d65a09
https://hal.inria.fr/hal-02341014

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Assessing the Performances of different Neural Network Architectures for the Detection of Screams and Shouts in Public Transportation

Autor: Yun Wang, Pierre Laffitte, Laurent Girin, David Sodoyer

Publikováno v: Expert Systems with Applications
Expert Systems with Applications, Elsevier, 2019, 117, pp.29-41. ⟨10.1016/j.eswa.2018.08.052⟩

International audience; As intelligent transportation systems are becoming more and more prevalent, the relevance of automatic surveillance systems grows larger. While such systems rely heavily on video signals, other types of signals can be used as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::533f47f1abaab44309765e567fe60562
https://hal.archives-ouvertes.fr/hal-01892436/document

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Utilisation synergique d'images Sentinel-1 et Sentinel-2 pour la cartographie opérationnelle de l'humidité du sol à haute résolution spatiale dans les zones agricoles

Autor: El Hajj, Mohammad, Baghdadi, N., Zribi, M., Bazzi, H.

Publikováno v: Remote Sensing
Remote Sensing, MDPI, 2017, 9 (1292), 28 p. ⟨10.3390/rs9121292⟩
Remote Sensing, 2017, 9 (1292), 28 p. ⟨10.3390/rs9121292⟩
Remote Sensing, Vol 9, Iss 12, p 1292 (2017)

[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOS; International audience; Soil moisture mapping at a high spatial resolution is very important for several applications in hydrology, agriculture and risk assessment. With th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bd7f01a429255ce12e5a216b87576ddf
https://hal.archives-ouvertes.fr/hal-01737156/document

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