Literatura académica sobre el tema "Inférence Dynamique"
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Artículos de revistas sobre el tema "Inférence Dynamique"
Scott, David. "La structure sémiotique de l'allégorie". Protée 33, n.º 1 (12 de mayo de 2006): 39–48. http://dx.doi.org/10.7202/012265ar.
Texto completoTesis sobre el tema "Inférence Dynamique"
Delattre, Maud. "Inférence statistique dans les modèles mixtes à dynamique Markovienne". Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00765708.
Texto completoBilloir, Élise. "Modélisation dynamique et inférence bayésienne pour l'analyse de données en écotoxicologie". Lyon 1, 2008. http://www.theses.fr/2008LYO10146.
Texto completoCornuéjols, Antoine. "De l'apprentissage incrémental par adaptation dynamique : le système Influence". Paris 11, 1989. http://www.theses.fr/1989PA112003.
Texto completoFischer, Fabian. "Inférence de la structure et dynamique des forêts tropicales humides avec un modèle individu-centré". Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30229.
Texto completoClimate change presents society and science with a challenge that goes beyond the temporal and spatial scales of most practical problems. It therefore requires approaches that reflect the complexity of the Earth's system. This holds particularly true for the biosphere and forest ecosystems, one of the most important sources of uncertainty in climate projections. Concerted data collection efforts, such as forest inventories, trait data bases, and new technologies, such as remote sensing, have considerably increased our ability to observe and analyze the current state of the Earth's vegetation. However, to extrapolate findings into the future and understand the feedbacks between vegetation and climate change, models are needed that assimilate these data and translate them into ecosystem dynamics. Mechanistic and individual-based forest models are a particular promising approach, since they simulate dynamics bottom-up, reconstruct forests tree by tree, and are thus able to predict patterns across scales. This PhD further develops the trait- and individual-based forest growth simulator TROLL, including intraspecific variation and plasticity in tree growth, derives a new method to translate Airborne Lidar data into virtual forest inventories and uses it to infer forest structure and ecosystem dynamics in tropical rain forests. Finally, in line with TROLL's trait-based approach, an update to a global trait base, the Global Wood Density Database is presented, exploring the contribution of evolutionary lineages to wood density variation and mapping wood density across the globe
Sylvand, Benjamin. "Concept et changement de concept : Concept, contenu et inférence, Bases pour une approche dynamique du concept". Phd thesis, Université Paris-Sorbonne - Paris IV, 2005. http://tel.archives-ouvertes.fr/ijn_00000655.
Texto completoLeroux, Romain. "Inférence bayésienne pour la reconstruction d'écoulements complexes - Application au profil NACA0012". Phd thesis, Université de Poitiers, 2012. http://tel.archives-ouvertes.fr/tel-00766239.
Texto completoMunoz, François Julien. "Distribution régionale des espèces et dynamique des métapopulations : modèle hiérarchique d'habitat et inférence du taux relatif extension/colonisation". Montpellier 2, 2006. http://www.theses.fr/2006MON20012.
Texto completoA species cannot survive locally unless its biological requirements are met (niche concept). However, because of the stochasticity of its own dynamics and of the dynamics of its environment, every population is doomed to go extinct. Hence the fate of a metapopulation depends on the balance between colonization and extinction of individual populations. The floristic atlas of the French Drôme district by Luc Garraud is the basis and the motivation of our research on this topic. We consider a species' distribution as the spatial map of a single metapopulation. A global theoretical investigation of the processes involved allows us to propose new developments. We show that self-organized spatial and temporal structures are of importance. We also demonstrate that appropriate spatial statistics using spectral analysis allow to evidence metapopulation dynamics. Finally we propose an inference framework that sequentially estimates niche properties and metapopulation features. We use this framework to establish some general ecological features of plant dynamics in the Drôme district. We highlight some principles that are of importance to infer ecological processes from spatial occurrence data. The uncertainty principle means that less precise indexes of spatial structure can provide more relevant ecological information, because they filter out local contingent structures. Also, local processes should be inferred using observations at an intermediate scale and not at the scale of the overall system: this allows taking into account the effect of emergent structures. The niche concept and its spatial counterpart, the habitat, are at the meeting point of such ideas. The perspectives we propose in our work offer interesting and promising milestones in the fields of population and community ecology
Zhang, Erliang. "Etude de problèmes inverses en dynamique des structures par inférence bayésienne : recalage de modèle et reconstruction des efforts". Compiègne, 2010. http://www.theses.fr/2010COMP1857.
Texto completoThis work deals with inverse problems in structural dynamics, model updating and force reconstruction, both of them are two fundamental issues to study the dynamic behavior of a structure. Faced to the problems of non-identifiability and of calculation time, model updating consists in identifying the parameters of Finite element (FE) model. Force reconstruction is performed based on a model which is often uncertain. Due to noisy and finite expérimental data, both kinds of inverse problems are potentially ill-posed in the sense of Hadamard. In order to deal with this, a Bayesian approach domain is proposed in the frequency. FE model updating is carried out within Bayesian framework thanks to the following points. A special strategy of measurement is adopted to identify the best linear approximation of a structure and the associated standard deviation using a multi-sine excitation. The evolutionary MCMC algorithm is applied to explore the posterior probability distribution which is implicit function of the parameters. A stochastic FE model is constructed using the polynomial chaos. The FE modeling error is taken into account in the model updating process by introducing additional variables. The second part of the work uses Bayesian inference to reconstruct the force of smooth form in the frequency domain. The force is reconstructed with the Gibbs sampler, where the force is parameterized by a 1D Hermit element and segment regularization is formed. In the case of uncertain model, a conjoint approach is proposed to reconstruct the force and adjust the uncertain model. The established approach is validated by a laboratory structure
Gajda, Dorota. "Optimisation des méthodes algorithmiques en inférence bayésienne. Modélisation dynamique de la transmission d'une infection au sein d'une population hétérogène". Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00659618.
Texto completoRoncen, Rémi. "Modélisation et identification par inférence bayésienne de matériaux poreux acoustiques en aéronautique". Thesis, Toulouse, ISAE, 2018. http://www.theses.fr/2018ESAE0023/document.
Texto completoThe present work focuses on porous materials in aeronautics and the uncertainty considerations on the performed identifications. Porous materials are added inside the cavities of acoustic liners, materials formed with perforated plates and cavities, behaving as Helmholtz resonators, which are widely used in the industry. The aim is to increase the frequency range of the absorption spectrum, while improving the behaviour of liners to grazing flow and high sound intensity.This general topic is addressed by following two different leads.Porous materials were first considered in order to identify the intrinsic properties of their micro-geometry, necessary to the equivalent fluid semi-phenomenological models used later on. To achieve this, a statistical Bayesian inference tool is used to extract information on these properties, contained in reflected or transmitted signals, in three distinct frequency regimes. Furthermore, a modelling extension of rigid porous media is introduced, by adding two new intrinsic parameters related to the pore micro-structure and linked to the visco-inertial behaviour of the intra-pore fluid, at low frequencies.Then, the liner impedance, a global property representing the acoustic behaviour of materials, is identified through a Bayesian inference process. Data from a NASA benchmark are used to validate the developed tool, when the liner is subject to a shear grazing flow. An extension of these results to ONERA's B2A aeroacoustic bench is also performed, with measurements of the velocity profiles above the liner, obtained with a Laser Doppler Velocimetry technique. This identification technique is then further used for liner materials filled with porous media, to highlight the eventual influence of such a porous media on the acoustic response of the liner, when subject to a shear grazing flow. Additional measurements are permed without flow, at normal incidence, in a classical impedance tube. Different combinations of perforated plates and porous materials are tested at different sound pressure level, to evaluate the influence of the presence of porous media on the non-linear behaviour of liners when high sound pressure levels are present
Capítulos de libros sobre el tema "Inférence Dynamique"
BONNAFFOUX, Arnaud. "Inférence de réseaux de régulation de gènes à partir de données dynamiques multi-échelles". En Approches symboliques de la modélisation et de l’analyse des systèmes biologiques, 7–50. ISTE Group, 2022. http://dx.doi.org/10.51926/iste.9029.ch1.
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