Academic literature on the topic 'Réseaux de Neuronne'
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Journal articles on the topic "Réseaux de Neuronne":
Postadjian, Tristan, Arnaud Le Bris, Hichem Sahbi, and Clément Mallet. "Classification à très large échelle d'images satellites à très haute résolution spatiale par réseaux de neurones convolutifs." Revue Française de Photogrammétrie et de Télédétection, no. 217-218 (September 21, 2018): 73–86. http://dx.doi.org/10.52638/rfpt.2018.418.
Tighilet, Brahim, Guillaume Rastoldo, and Christian Chabbert. "Le cerveau adulte produit de nouveaux neurones pour restaurer l’équilibre après une perte vestibulaire." médecine/sciences 36, no. 6-7 (June 2020): 581–91. http://dx.doi.org/10.1051/medsci/2020112.
Lek, S., I. Dimopoulos, M. Derraz, and Y. El Ghachtoul. "Modélisation de la relation pluie-débit à l'aide des réseaux de neurones artificiels." Revue des sciences de l'eau 9, no. 3 (April 12, 2005): 319–31. http://dx.doi.org/10.7202/705255ar.
Soudani, Azeddine, Saadi Bougoul, and Jean-Luc Harion. "Réduction des étalonnages multiples en mesures simultanées dans une couche limite turbulente d'un mélange air - hélium." Journal of Renewable Energies 6, no. 2 (December 31, 2003): 77–94. http://dx.doi.org/10.54966/jreen.v6i2.963.
Leroux, Élodie, Romain Perbet, Luc Buée, and Morvane Colin. "Les vésicules extracellulaires." médecine/sciences 37, no. 12 (December 2021): 1133–38. http://dx.doi.org/10.1051/medsci/2021205.
Vazquez, J., M. Zug, D. Bellefleur, B. Grandjean, and O. Scrivener. "Utilisation d'un réseau de neurones pour appliquer le modèle de Muskingum aux réseaux d'assainissement." Revue des sciences de l'eau 12, no. 3 (April 12, 2005): 577–95. http://dx.doi.org/10.7202/705367ar.
Dechemi, N., T. Benkaci, and A. Issolah. "Modélisation des débits mensuels par les modèles conceptuels et les systèmes neuro-flous." Revue des sciences de l'eau 16, no. 4 (April 12, 2005): 407–24. http://dx.doi.org/10.7202/705515ar.
Vuille, Amandine. "Et si ton cerveau ressemblait à une station de ski : Création d’un support pédagogique neuro-éducatif qui permet aux élèves de 7 à 10 ans de comprendre le fonctionnement du cerveau humain." Cortica 2, no. 2 (September 19, 2023): 54–90. http://dx.doi.org/10.26034/cortica.2023.4217.
-BORNE, Pierre. "Les réseaux de neurones." Revue de l'Electricité et de l'Electronique -, no. 08 (2006): 31. http://dx.doi.org/10.3845/ree.2006.074.
-BORNE, Pierre. "Les réseaux de neurones." Revue de l'Electricité et de l'Electronique -, no. 08 (2006): 37. http://dx.doi.org/10.3845/ree.2006.075.
Dissertations / Theses on the topic "Réseaux de Neuronne":
Ben, Slimane Tarek. "Investigation of the Optical Emission of Hall Effect Thrusters using a Collisional Radiative Model, Particle-In-Cell Simulations, and Machine Learning." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAX153.
This thesis provides an analysis of the optical emission of Hall Effect thrusters. The study is grounded in the context of the dynamic field of micro reusable launchers and ride-share satellite programs, which have substantially reduced space operation costs. This shift has intensified the demand for standardized and miniaturized satellite equipment, with a particular focus on Hall thrusters due to their advantageous thrust-to-power ratio, specific impulse, and efficiency.This thesis builds upon the development of the LPPic Particle-In-Cell code, and explores the plasma dynamics and interactions within the thruster by coupling the simulation results with virtual diagnostics. First is the collective Thomson scattering, which explores the electron density fluctuations in the thruster. Second is the optical emission spectroscopy coupled with a collisional radiative model, which characrerizes the electron energy distribution function. Both are instrumental in validating LPPic simulations, with the latter also serving as a promising tool for assessing the performance in orbit and characterizing ground facility effects.The methodology consists of a blend of simulations and experiments, relying on virtual diagnostics to assess simulations and guide experimental practices. The thesis is structured into eight chapters. These include the exploration of virtual collective Thomson scattering diagnostics, the development and validation of HET0D, a collisional-radiative model for neutral xenon, and the establishment of a framework for performing virtual optical emission spectroscopy from Particle-In-Cell simulations. This established the importance of considering spatial gradients in the plume of the thruster when extracting plasma parameters from optical emission. It also highlighted the validity of the transport and Maxwellian assumptions in the collisional radiative models of neutral species and highlighted line-specific bandwidth limitations for the implementation of optical emission spectroscopy to study high frequency instabilities (>MHz). These insights were confronted with experiments where actual spectra were used to extract plasma parameters using the collisional radiative model under various thruster conditions, thereby demonstrating the validity of the virtual diagnostic analysis and the adequacy of optical emission and collisional radiative models to monitor Hall Effect thrusters. Finally, an innovative enhancement to optical emission and collisional radiative model through the integration of artificial neural networks is also presented, which significantly improves the efficiency and scope of the diagnostic, by speeding up the processing, reducing the needed hardware in-orbit, and allowing the optical control of the operating parameters.This research makes an initial contribution to the field of electric propulsion by offering a unique perspective that combines numerical simulations, virtual diagnostics with experimental data, and neural networks, thereby enhancing the understanding of diagnostics, simulations, and the behavior of Hall Effect thrusters
Cohen, Floriane. "Architectures dynamiques des réseaux neuronaux in vitro." Thesis, Paris Sciences et Lettres (ComUE), 2018. https://tel.archives-ouvertes.fr/tel-02512337.
The function of the nervous system relies on the establishment of complex neuronal circuitry. During development, axon branching allows each neuron to establish synaptic contacts with multiple targets and is essential to the assembly of highly interconnected networks. Therefore, understanding the mechanisms underlying the control of neuronal branching is crucial in the study of neuronal circuit development.In this thesis, we investigated this phenomenon by imposing morphological constraints to neurons through the use of different chemical micropatterning techniques. Using static micropatterns, we explored branching behavior in a wide range of geometries with a focus on the influence of branching angle. In parallel, we have also worked on the development of a dynamic patterning technique based on spontaneous adsorption of comb-like derivatives of poly-L-lysine to form switchable patterns on highly cell-repellent surfaces, with the aim of creating a platform allowing for spatio-temporally controlled generation of neurite branches
Pfeuty, Benjamin. "Rôles des synapses électriques dans la synchronisation neuronale : Une étude théorique." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2004. http://tel.archives-ouvertes.fr/tel-00007936.
Bénédic, Yohann. "Approche analytique pour l'optimisation de réseaux de neurones artificiels." Phd thesis, Université de Haute Alsace - Mulhouse, 2007. http://tel.archives-ouvertes.fr/tel-00605216.
Asnaashari, Ahmad. "Modélisation de la défaillance des réseaux d'eau : approches statistique, réseau de neurones et survie." Lille 1, 2007. https://pepite-depot.univ-lille.fr/LIBRE/Th_Num/2007/50376-2007-Asnaashari.pdf.
Grehl, Stephanie. "Stimulation-specific effects of low intensity repetitive magnetic stimulation on cortical neurons and neural circuit repair in vitro (studying the impact of pulsed magnetic fields on neural tissue)." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066706/document.
Electromagnetic fields are widely used to non-invasively stimulate the human brain in clinical treatment and research. This thesis investigates the effects of different low intensity (mT) repetitive magnetic stimulation (LI-rMS) parameters on single neurons and neural networks and describes key aspects of custom tailored LI-rMS delivery in vitro. Our results show stimulation specific effects of LI-rMS on cell survival, neuronal morphology, neural circuit repair and gene expression. We show novel mechanisms underlying cellular responses to stimulation below neuronal firing threshold, extending our understanding of the fundamental effects of LI-rMS on biological tissue which is essential to better tailor therapeutic applications
Ambroise, Matthieu. "Hybridation des réseaux de neurones : de la conception du réseau à l’interopérabilité des systèmes neuromorphiques." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0394/document.
HYBRID experiments allow to connect a biological neural network with an artificial one,used in neuroscience research and therapeutic purposes. During these three yearsof PhD, this thesis focused on hybridization in a close-up view (bi-diretionnal direct communication between the artificial and the living) and in a broader view (interoperability ofneuromorphic systems). In the early 2000s, an analog neuromorphic system has been connected to a biological neural network. This work is firstly, about the design of a digital neural network, for hybrid experimentsin two multi-disciplinary projects underway in AS2N team of IMS presented in this document : HYRENE (ANR 2010-Blan-031601), aiming the development of a hybrid system for therestoration of motor activity in the case of a spinal cord lesion,BRAINBOW (European project FP7-ICT-2011-C), aiming the development of innovativeneuro-prostheses that can restore communication around cortical lesions. Having a configurable architecture, a digital neural network was designed for these twoprojects. For the first project, the artificial neural network emulates the activity of CPGs (Central Pattern Generator), causing the locomotion in the animal kingdom. This activity will trigger aseries of stimuli in the injured spinal cord textit in vitro and recreating locomotion previously lost. In the second project, the neural network topology will be determined by the analysis anddecryption of biological signals from groups of neurons grown on electrodes, as well as modeling and simulations performed by our partners. The neural network will be able to repair the injuredneural network. This work show the two different networks design approach and preliminary results obtained in the two projects.Secondly, this work hybridization to extend the interoperability of neuromorphic systems. Through a communication protocol using Ethernet, it is possible to interconnect electronic neuralnetworks, computer and biological. In the near future, it will increase the complexity and size of networks
Le, Masson Gwendal. "Stabilité fonctionnelle des réseaux de neurones : étude expérimentale et théorique dans le cas d'un réseau simple." Bordeaux 1, 1998. http://www.theses.fr/1998BOR10534.
Wenzek, Didier. "Construction de réseaux de neurones." Phd thesis, Grenoble INPG, 1993. http://tel.archives-ouvertes.fr/tel-00343569.
Tsopze, Norbert. "Treillis de Galois et réseaux de neurones : une approche constructive d'architecture des réseaux de neurones." Thesis, Artois, 2010. http://www.theses.fr/2010ARTO0407/document.
The artificial neural networks are successfully applied in many applications. But theusers are confronted with two problems : defining the architecture of the neural network able tosolve their problems and interpreting the network result. Many research works propose some solutionsabout these problems : to find out the architecture of the network, some authors proposeto use the problem domain theory and deduct the network architecture and some others proposeto dynamically add neurons in the existing networks until satisfaction. For the interpretabilityproblem, solutions consist to extract rules which describe the network behaviour after training.The contributions of this thesis concern these problems. The thesis are limited to the use of theartificial neural networks in solving the classification problem.In this thesis, we present a state of art of the existing methods of finding the neural networkarchitecture : we present a theoritical and experimental study of these methods. From this study,we observe some limits : difficulty to use some method when the knowledges are not available ;and the network is seem as ’black box’ when using other methods. We a new method calledCLANN (Concept Lattice-based Artificial Neural Network) which builds from the training dataa semi concepts lattice and translates this semi lattice into the network architecture. As CLANNis limited to the two classes problems, we propose MCLANN which extends CLANN to manyclasses problems.A new method of rules extraction called ’MaxSubsets Approach’ is also presented in thisthesis. Its particularity is the possibility of extracting the two kind of rules (If then and M-of-N)from an internal structure.We describe how to explain the MCLANN built network result aboutsome inputs
Books on the topic "Réseaux de Neuronne":
Blayo, François. Les réseaux de neurones artificiels. Paris: Presses universitaires de France, 1996.
Kamp, Yves. Réseaux de neurones récursifs pour mémoires associatives. Lausanne: Presses polytechniques et universitaires romandes, 1990.
Rollet, Guy. Les RÉSEAUX DE NEURONES DE LA CONSCIENCE - Approche multidisciplinaire du phénomène. Paris: Editions L'Harmattan, 2013.
Personnaz, L. Réseaux de neurones formels pour la modélisation, la commande et la classification. Paris: CNRS Editions, 2003.
Amat, Jean-Louis. Techniques avancées pour le traitement de l'information: Réseaux de neurones, logique floue, algorithmes génétiques. 2nd ed. Toulouse: Cépaduès-Ed., 2002.
Hawkins, Jeff. Intelligence. Paris: CampusPress, 2005.
Journées d'électronique (1989 Lausanne, Switzerland). Réseaux de neurones artificiels: Comptes rendus des Journées d'électronique 1989, Lausanne, 10-12 october 1983. Lausanne: Presses polytechniques romande, 1989.
Genevieve, Orr, and Müller Klaus-Robert, eds. Neural networks: Tricks of the trade. Berlin: Springer, 1998.
Horcholle-Bossavit, Ginette. Le neurone computationnel: Histoire d'un siècle de recherches. Paris: CNRS, 2005.
Rojas, Raúl. Neural networks: A systematic introduction. Berlin: Springer-Verlag, 1996.
Book chapters on the topic "Réseaux de Neuronne":
Martaj, Dr Nadia, and Dr Mohand Mokhtari. "Réseaux de neurones." In MATLAB R2009, SIMULINK et STATEFLOW pour Ingénieurs, Chercheurs et Etudiants, 807–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11764-0_17.
Kipnis, C., and E. Saada. "Un lien entre réseaux de neurones et systèmes de particules: Un modele de rétinotopie." In Lecture Notes in Mathematics, 55–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0094641.
MOLINIER, Matthieu, Jukka MIETTINEN, Dino IENCO, Shi QIU, and Zhe ZHU. "Analyse de séries chronologiques d’images satellitaires optiques pour des applications environnementales." In Détection de changements et analyse des séries temporelles d’images 2, 125–74. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9057.ch4.
DE’ FAVERI TRON, Alvise. "La détection d’intrusion au moyen des réseaux de neurones : un tutoriel." In Optimisation et apprentissage, 211–47. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9071.ch8.
"4. Les réseaux de neurones artificiels." In L'intelligence artificielle, 91–112. EDP Sciences, 2021. http://dx.doi.org/10.1051/978-2-7598-2580-6.c006.
BYTYN, Andreas, René AHLSDORF, and Gerd ASCHEID. "Systèmes multiprocesseurs basés sur un ASIP pour l’efficacité des CNN." In Systèmes multiprocesseurs sur puce 1, 93–111. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9021.ch4.
BENMAMMAR, Badr, and Asma AMRAOUI. "Application de l’intelligence artificielle dans les réseaux de radio cognitive." In Gestion et contrôle intelligents des réseaux, 233–60. ISTE Group, 2020. http://dx.doi.org/10.51926/iste.9008.ch9.
COGRANNE, Rémi, Marc CHAUMONT, and Patrick BAS. "Stéganalyse : détection d’information cachée dans des contenus multimédias." In Sécurité multimédia 1, 261–303. ISTE Group, 2021. http://dx.doi.org/10.51926/iste.9026.ch8.
ATTO, Abdourrahmane M., Héla HADHRI, Flavien VERNIER, and Emmanuel TROUVÉ. "Apprentissage multiclasse multi-étiquette de changements d’état à partir de séries chronologiques d’images." In Détection de changements et analyse des séries temporelles d’images 2, 247–71. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9057.ch6.
ATTO, Abdourrahmane M., Fatima KARBOU, Sophie GIFFARD-ROISIN, and Lionel BOMBRUN. "Clustering fonctionnel de séries d’images par entropies relatives." In Détection de changements et analyse des séries temporelles d’images 1, 121–38. ISTE Group, 2022. http://dx.doi.org/10.51926/iste.9056.ch4.
Conference papers on the topic "Réseaux de Neuronne":
ORLIANGES, Jean-Christophe, Younes El Moustakime, Aurelian Crunteanu STANESCU, Ricardo Carrizales Juarez, and Oihan Allegret. "Retour vers le perceptron - fabrication d’un neurone synthétique à base de composants électroniques analogiques simples." In Les journées de l'interdisciplinarité 2023. Limoges: Université de Limoges, 2024. http://dx.doi.org/10.25965/lji.761.
Fourcade, A. "Apprentissage profond : un troisième oeil pour les praticiens." In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206601014.
Gresse, Adrien, Richard Dufour, Vincent Labatut, Mickael Rouvier, and Jean-François Bonastre. "Mesure de similarité fondée sur des réseaux de neurones siamois pour le doublage de voix." In XXXIIe Journées d’Études sur la Parole. ISCA: ISCA, 2018. http://dx.doi.org/10.21437/jep.2018-2.
Walid, Tazarki, Fareh Riadh, and Chichti Jameleddine. "La Prevision Des Crises Bancaires: Un essai de modélisation par la méthode des réseaux de neurones [Not available in English]." In International Conference on Information and Communication Technologies from Theory to Applications - ICTTA'08. IEEE, 2008. http://dx.doi.org/10.1109/ictta.2008.4529985.
Kim, Lila, and Cédric Gendrot. "Classification automatique de voyelles nasales pour une caractérisation de la qualité de voix des locuteurs par des réseaux de neurones convolutifs." In XXXIVe Journées d'Études sur la Parole -- JEP 2022. ISCA: ISCA, 2022. http://dx.doi.org/10.21437/jep.2022-82.
Gendrot, Cedric, Emmanuel Ferragne, and Anaïs Chanclu. "Analyse phonétique de la variation inter-locuteurs au moyen de réseaux de neurones convolutifs : voyelles seules et séquences courtes de parole." In XXXIVe Journées d'Études sur la Parole -- JEP 2022. ISCA: ISCA, 2022. http://dx.doi.org/10.21437/jep.2022-94.
Quintas, Sebastião, Alberto Abad, Julie Mauclair, Virginie Woisard, and Julien Pinquier. "Utilisation de réseaux de neurones profonds avec attention pour la prédiction de l’intelligibilité de la parole de patients atteints de cancers ORL." In XXXIVe Journées d'Études sur la Parole -- JEP 2022. ISCA: ISCA, 2022. http://dx.doi.org/10.21437/jep.2022-7.