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Thèses sur le sujet « Inverse Model »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 25 mai 2024

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1

Tang, Hui. "Forward and Inverse Modeling of Tsunami Sediment Transport." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/77439.

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Tsunami is one of the most dangerous natural hazards in the coastal zone worldwide. Large tsunamis are relatively infrequent. Deposits are the only concrete evidence in the geological record with which we can determine both tsunami frequency and magnitude. Numerical modeling of sediment transport during a tsunami is important interdisciplinary research to estimate the frequency and magnitude of past events and quantitative prediction of future events. The goal of this dissertation is to develop robust, accurate, and computationally efficient models for sediment transport during a tsunami. Ther

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Sakellariou, Jason. "Inverse inference in the asymmetric Ising model." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00869738.

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Recent experimental techniques in biology made possible the acquisition of overwhelming amounts of data concerning complex biological networks, such as neural networks, gene regulation networks and protein-protein interaction networks. These techniques are able to record states of individual components of such networks (neurons, genes, proteins) for a large number of configurations. However, the most biologically relevantinformation lies in their connectivity and in the way their components interact, information that these techniques aren't able to record directly. The aim of this thesis is to

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3

Boada, Fernando E. "Inverse ultrasonic scattering with model function constraints." Case Western Reserve University School of Graduate Studies / OhioLINK, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=case1054586314.

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Chisari, Corrado. "INVERSE TECHNIQUES FOR MODEL IDENTIFICATION OF MASONRY STRUCTURES." Doctoral thesis, Università degli studi di Trieste, 2015. http://hdl.handle.net/10077/11123.

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2013/2014<br>Many old masonry structures still in use need to be assessed considering the safety requirements proposed by current building codes. To this aim, the use of detailed numerical models, allowing the description of complex mechanical phenomena such as anisotropy, softening and crack propagation, could become tremendously beneficial. Although a large number of material models with different degrees of complexity have been recently proposed in the literature, the calibration of the model material parameters, which is critical for an accurate response prediction, has received remarkably

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Miller, James Christopher. "Analytical inverse model for post-event attribution of plutonium." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3208.

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Jungius, Hugo. "Model inverse electro-catalyst investigations of metal support interactions." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/413849/.

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Gold supported titania nano-particle surfaces have been synthesised in order to understand supported electrochemical mechanisms through an inverse catalyst. The catalyst process investigated was the electro-oxidation of CO which is known to be promoted on Au nano-particles on a titania support. Synthesis proceeded via physical vapour deposition (PVD) of titanium onto a gold surface (both polycrystalline and 111 crystal), followed by alloying and oxidation to form discrete particles of titania on the surface, with variations in density of particles achieved by control of the initial titanium co

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Gerry, Michael J. "Two-dimensional inverse scattering based on the GTD model /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487946103567201.

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8

Aldrian, Oswald. "Inverse rendering of faces with a 3D morphable model." Thesis, University of York, 2012. http://etheses.whiterose.ac.uk/3215/.

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In this thesis, we present a complete framework to inverse render faces with a 3D Morphable Model. By decomposing the image formation process into a geometric and photometric part, we are able to state the problem as a multilinear system which can be solved accurately and efficiently. As we treat each contribution as independent, the objective function is convex in the parameters and a globally optimal solution can be found. We start by recovering 3D shape using a novel algorithm which incorporates generalisation errors of the model obtained from empirical measurements. The algorithm is extend

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9

Qi, Te. "Inverse modeling to predict effective leakage area." Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45942.

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The purpose of this research is to develop a new approach to estimate the effective leakage area using the inverse modeling process as an alternative to the blower door test. An actual office building, which is the head quarter of Energy Efficiency Hub, was used as an example case in this study. The main principle of the inverse modeling process is comparing the real monitor boiler gas consumption with the result calculated from the EnergyPlus model with a dynamic infiltration rate input to find the best estimation of the parameter of effective leakage area (ELA). This thesis considers only t

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Afdideh, Fardin. "Block-sparse models in multi-modality : application to the inverse model in EEG/MEG." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAT074/document.

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De nombreux phénomènes naturels sont trop complexes pour être pleinement reconnus par un seul instrument de mesure ou par une seule modalité. Par conséquent, le domaine de recherche de la multi-modalité a émergé pour mieux identifier les caractéristiques riches du phénomène naturel de la multi-propriété naturelle, en analysant conjointement les données collectées à partir d’uniques modalités, qui sont en quelque sorte complémentaires. Dans notre étude, le phénomène d’intérêt multi-propriétés est l’activité du cerveau humain et nous nous intéressons à mieux la localiser au moyen de ses propriét

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Lieberman, Chad Eric. "Parameter and state model reduction for Bayesian statistical inverse problems." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54213.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2009.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student submitted PDF version of thesis.<br>Includes bibliographical references (p. 113-118).<br>Decisions based on single-point estimates of uncertain parameters neglect regions of significant probability. We consider a paradigm based on decision-making under uncertainty including three steps: identification of parametri

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Fakhfakh, Sarra. "Solving inverse problems in thermal engineering using a surrogate model." Thesis, KTH, Optimeringslära och systemteori, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200915.

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Through either measured or computed experimental data, inverse problems aim to determine parameters not straightforwardly given by measure. An inverse problem results in an optimization problem that requires many simulations of the direct problem which computations can be costly. One approach is to replace the reference model by a reduced model. A reduced model or surrogate is built by a statistical learning method (a theory on how to characterize the behaviour of a function based on observed data). In this case, uncertainties have a bigger effect on the problem and the errors introduced by th

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Iliffe, Christopher. "An inverse predictive model for the design of functional textiles." Thesis, University of Newcastle upon Tyne, 2016. http://hdl.handle.net/10443/3351.

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Coated woven fabrics are used for large scale structures including airports and sports stadia. Manufacturers produce a range of fabrics from which a single fabric is selected by the structural engineer based on design criteria such as stiffness, weight, strength and formability. Designs must therefore utilise a fabric with properties which may not be optimal for that particular application. This thesis develops and tests a model that allows a bespoke coated woven fabric to be designed with specified mechanical properties such as tensile stiffness, Poison’s ratio and shear stiffness. A method i

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Rostiti, Cristian. "Automotive Engine Air Path Optimization using Dynamic Inverse Model Allocation." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu157470436430993.

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Coevoet, Eulalie. "Optimization-based inverse model of soft robots, with contact handling." Thesis, Lille 1, 2019. http://www.theses.fr/2019LIL1I002/document.

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La robotique souple s’inspire de la nature, de la manière dont les organismes vivants se déplacent et adaptent leur forme à leur environnement. Contrairement aux robots traditionnels, les robots souples accomplissent des tâches avec plus de flexibilité. Les matériaux souples avec lesquels ils sont construits les rendent plus sûrs pour des environnements fragiles.Cependant, le domaine de la robotique souple pose de nouveaux défis, en particulier pour la modélisation et le contrôle. Dans cette thèse, nous visons à fournir des méthodes génériques pour leur modélisation. Les méthodes sont basées s

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Vail, Stacy G. "An Inverse Approach to a Probability Model for Fractured Networks." DigitalCommons@USU, 1994. https://digitalcommons.usu.edu/etd/7128.

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A common problem in science and engineering applications deals with finding information about a system where only limited information is known. One example of this problem is determining the geometry of an aquifer or oil reservoir based on well tests taken at the site. The Conditional Coding Method attacks this type of problem. This method uses the Simulated Annealing Algorithm in conjunction with a probability model which generates possible solutions based on a uniform random number list. The Annealing Algorithm generates a conditional probability distribution on all possible solutions genera

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Jahn, Wolfram. "Inverse modelling to forecast enclosure fire dynamics." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/3418.

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Despite advances in the understanding of fire dynamics over the past decades and despite the advances in computational capacity, our ability to predict the behaviour of fires in general and building fires in particular remains very limited. This thesis proposes and studies a method to use measurements of the real event in order to steer and accelerate fire simulations. This technology aims at providing forecasts of the fire development with a positive lead time, i.e. the forecast of future events is ready before those events take place. A simplified fire spread model is implemented, and sensor

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Zhang, Huai-Min Ph D. Massachusetts Institute of Technology. "Application of an inverse model in the community modeling effort results." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/58152.

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Bashir, Omar Shahid. "Hessian-based model reduction with applications to initial-condition inverse problems." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42049.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2007.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 85-89).<br>(cont.) Reduced-order models that are able to approximate output quantities of interest of high-fidelity computational models over a wide range of input parameters play an important role in making tractable large-scale optimal design, optimal control, and inverse problem applications. We consider

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Mahmoud, Mohamed. "Parking Map Generation and Tracking Using Radar : Adaptive Inverse Sensor Model." Thesis, Linköpings universitet, Fluida och mekatroniska system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167084.

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Radar map generation using binary Bayes filter or what is commonly known as Inverse Sensor Model; which translates the sensor measurements into grid cells occupancy estimation, is a classical problem in different fields. In this work, the focus will be on development of Inverse Sensor Model for parking space using 77 GHz FMCW (Frequency Modulated Continuous Wave) automotive radar, that can handle different environment geometrical complexity in a parking space. There are two main types of Inverse Sensor Models, where each has its own assumption about the sensor noise. One that is fixed and is s

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John, Lester Ryan. "An inverse transmission line model of the lower limb arterial system." Doctoral thesis, University of Cape Town, 2000. http://hdl.handle.net/11427/3254.

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Chaplin, Jeremiah E. "An inverse model of double diffusive convection in the Beaufort Sea." Thesis, Monterey, California : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Dec/09Dec%5FChaplin.pdf.

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Thesis (M.S. in Meteorology and Physical Oceanography)--Naval Postgraduate School, December 2009.<br>Thesis Advisor(s): Radko, Timour. Second Reader: Schoenstadt, Arthur. "December 2009." Description based on title screen as viewed on February 01, 2010. Author(s) subject terms: Double diffusion, inverse model, 4/3 Flux Law. Includes bibliographical references (p. 69-71). Also available in print.

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Valerdi, Cabrera Juan Luis. "Model Order Reduction and its Application to an Inverse Electroencephalography Problem." Doctoral thesis, Università degli studi di Trento, 2018. https://hdl.handle.net/11572/368193.

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Model order reduction is a technique to reduce computational times of parameterized PDEs while maintaining good accuracy of the approximated solution. Reduced basis methods (RB) are the most common algorithms for reducing the complexity of parameterized PDEs and nowadays they are widely applied and very actively researched in numerous fields. We propose two ideas to further enhance model reduction: the Fundamental Order Reduction Method (FOR) and offline error estimators for RB methods. The FOR method uses nonlinear combinations of the solutions to build the reduced model and use simple affine

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Valerdi, Cabrera Juan Luis. "Model Order Reduction and its Application to an Inverse Electroencephalography Problem." Doctoral thesis, University of Trento, 2018. http://eprints-phd.biblio.unitn.it/2998/1/Juan_Luis_Valerdi_Cabrera_PhD_Thesis.pdf.

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Model order reduction is a technique to reduce computational times of parameterized PDEs while maintaining good accuracy of the approximated solution. Reduced basis methods (RB) are the most common algorithms for reducing the complexity of parameterized PDEs and nowadays they are widely applied and very actively researched in numerous fields. We propose two ideas to further enhance model reduction: the Fundamental Order Reduction Method (FOR) and offline error estimators for RB methods. The FOR method uses nonlinear combinations of the solutions to build the reduced model and use simple affine

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Krämer, Romy, Matthias Richter, and Bernd Hofmann. "Parameter estimation in a generalized bivariate Ornstein-Uhlenbeck model." Universitätsbibliothek Chemnitz, 2005. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200501307.

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In this paper, we consider the inverse problem of calibrating a generalization of the bivariate Ornstein-Uhlenbeck model introduced by Lo and Wang. Even though the generalized Black-Scholes option pricing formula still holds, option prices change in comparison to the classical Black-Scholes model. The time-dependent volatility function and the other (real-valued) parameters in the model are calibrated simultaneously from option price data and from some empirical moments of the logarithmic returns. This gives an ill-posed inverse problem, which requires a regularization approach. Applying the t

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Văcar, Cornelia Paula. "Inversion for textured images : unsupervised myopic deconvolution, model selection, deconvolution-segmentation." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0131/document.

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Ce travail est dédié à la résolution de plusieurs problèmes de grand intérêt en traitement d’images : segmentation, choix de modèle et estimation de paramètres, pour le cas spécifique d’images texturées indirectement observées (convoluées et bruitées). Dans ce contexte, les contributions de cette thèse portent sur trois plans différents : modéle, méthode et algorithmique.Du point de vue modélisation de la texture, un nouveaumodèle non-gaussien est proposé. Ce modèle est défini dans le domaine de Fourier et consiste en un mélange de Gaussiennes avec une Densité Spectrale de Puissance paramétriq

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Lenninger, Movitz. "Generative adversarial networks as integrated forward and inverse model for motor control." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-220535.

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Internal models are believed to be crucial components in human motor control. It has been suggested that the central nervous system (CNS) uses forward and inverse models as internal representations of the motor systems. However, it is still unclear how the CNS implements the high-dimensional control of our movements. In this project, generative adversarial networks (GAN) are studied as a generative model of movement data. It is shown that, for a relatively small number of effectors, it is possible to train a GAN which produces new movement samples that are plausible given a simulator environme

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Bruner, Hugh S. Steck James. "A model following inverse controller with adaptive compensation for general aviation aircraft." Diss., A link to full text of this thesis in SOAR, 2007. http://soar.wichita.edu/dspace/handle/10057/1073.

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Thesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Aerospace Engineering.<br>"May 2007." Title from PDF title page (viewed on October 25, 2007). Thesis adviser: James Steck. Includes bibliographic references (leaves 146-149).

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Wogrin, Sonja. "Model reduction for dynamic sensor steering : a Bayesian approach to inverse problems." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43739.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2008.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 97-101).<br>In many settings, distributed sensors provide dynamic measurements over a specified time horizon that can be used to reconstruct information such as parameters, states or initial conditions. This estimation task can be posed formally as an inverse problem: given a model and a set of me

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Hay, Robert James. "Identification of robotic manipulators' inverse dynamics coefficients via model-based adaptive networks." Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/32803.

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The values of a given manipulator's dynamics coefficients need to be accurately identified in order to employ model-based algorithms in the control of its motion. This thesis details the development of a novel form of adaptive network which is capable of accurately learning the coefficients of systems, such as manipulator inverse dynamics, where the algebraic form is known but the coefficients' values are not. Empirical motion data from a pair of PUMA 560s has been processed by the Context-Sensitive Linear Combiner (CSLC) network developed, and the coefficients of their inverse dynamics identi

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Zhou, Haiyan. "Stochastic Inverse Methods to Identify non-Gaussian Model Parameters in Heterogeneous Aquifers." Doctoral thesis, Universitat Politècnica de València, 2011. http://hdl.handle.net/10251/12267.

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La modelación numérica del flujo de agua subterránea y del transporte de masa se está convirtiendo en un criterio de referencia en la actualidad para la evaluación de recursos hídricos y la protección del medio ambiente. Para que las predicciones de los modelos sean fiables, estos deben de estar lo más próximo a la realidad que sea posible. Esta proximidad se adquiere con los métodos inversos, que persiguen la integración de los parámetros medidos y de los estados del sistema observados en la caracterización del acuífero. Se han propuesto varios métodos para resolver el problema inverso en las

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Macheli, Lebohang. "Inverse model systems to investigate metal-support interactions in Fischer-Tropsch catalysis." Doctoral thesis, Faculty of Engineering and the Built Environment, 2019. http://hdl.handle.net/11427/30921.

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This thesis aims to gain insight into the effects of metal-support interaction in Co/SiO2 catalysts using an inverse model system by modifying Co3O4 nanocrystallites with silanes (i.e. tetraethoxysilane, trimethyl chlorosilane, triphenyl ethoxysilane). It is postulated that the formation of Co-O-Si will alter the catalytic properties of the cobalt site to which silane is bonded and the adjacent ligand-free sites. The desire is to understand the effects of metal support interactions obtained after reduction of the model system on its performance in FischerTropsch synthesis, which was used as a

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Cherpeau, Nicolas. "Incertitudes structurales en géomodélisation : échantillonnage et approche inverse." Thesis, Université de Lorraine, 2012. http://www.theses.fr/2012LORR0141/document.

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La modélisation du sous-sol est un outil indispensable pour décrire, comprendre et quantifier les processus géologiques. L'accès au sous-sol et son observation étant limités aux moyens d'acquisition, la construction de modèles tridimensionnels du sous-sol repose sur l'interprétation de données éparses à résolution limitée. Dans ce contexte, de nombreuses incertitudes affectent la construction de tels modèles, dues aux possibles biais humains cognitifs lors de l'interprétation, à la variabilité naturelle des objets géologiques et aux incertitudes intrinsèques des données utilisées. Ces incertit

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Hussain, Mohammed Azlan. "Inverse-model control strategies using neural networks : analysis, simulation and on-line implementation." Thesis, Imperial College London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244464.

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Lyubchyk, Leonid, and Galina Grinberg. "Inverse Dynamic Models in Chaotic Systems Identification and Control Problems." Thesis, Ternopil National Economic University, 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/36824.

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Inverse dynamic models approach for chaotic system synchronization in the presence of uncertain parameters is considered. The problem is identifying and compensating unknown state-dependent parametric disturbance describing an unmodelled dynamics that generates chaotic motion. Based on the method of inverse model control, disturbance observers and compensators are synthesized. A control law is proposed that ensures the stabilization of chaotic system movement along master reference trajectory. The results of computational simulation of controlled Rösller attractor synchronization are also pres

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Spencer, Troy Allan. "Inverse diffraction propagation applied to the parabolic wave equation model for geolocation applications." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16681/1/Troy_Allan_Spencer_Thesis.pdf.

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Localisation, which is a mechanism for discovering the spatial relationship between objects, is an area that has received considerable research and development in recent times. A common name given to localisation operations based on the absolute reference frame of Earth is Geolocation. One important example of geolocation research is E-911, where wireless carriers in the United States must provide the location of 911 callers. The operation of E-911 can be based on either a network configuration, or the Global Positioning System (GPS). With the importance of localisation being acknowledged, a r

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Spencer, Troy Allan. "Inverse diffraction propagation applied to the parabolic wave equation model for geolocation applications." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16681/.

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Localisation, which is a mechanism for discovering the spatial relationship between objects, is an area that has received considerable research and development in recent times. A common name given to localisation operations based on the absolute reference frame of Earth is Geolocation. One important example of geolocation research is E-911, where wireless carriers in the United States must provide the location of 911 callers. The operation of E-911 can be based on either a network configuration, or the Global Positioning System (GPS). With the importance of localisation being acknowledged, a r

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Starkloff, Hans-Jörg, Dana Düvelmeyer, and Bernd Hofmann. "A note on uniqueness of parameter identification in a jump diffusion model." Universitätsbibliothek Chemnitz, 2005. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200501325.

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In this note, we consider an inverse problem in a jump diffusion model. Using characteristic functions we prove the injectivity of the forward operator mapping the five parameters determining the model to the density function of the return distribution.

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Yang, Celeste. "A study of the calibration-inverse prediction problem in a mixed model setting." Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/1079.

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El, Houari Karim. "Modélisation et imagerie électrocardiographiques." Thesis, Rennes 1, 2018. http://www.theses.fr/2018REN1S063/document.

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L'estimation des solutions du problème inverse en Électrocardiographie (ECG) représente un intérêt majeur dans le diagnostic et la thérapie d'arythmies cardiaques par cathéter. Ce dernier consiste à fournir des images 3D de la distribution spatiale de l'activité électrique du cœur de manière non-invasive à partir des données anatomiques et électrocardiographiques. D'une part ce problème est rendu difficile à cause de son caractère mal-posé. D'autre part, la validation des méthodes proposées sur données cliniques reste très limitée. Une alternative consiste à évaluer ces méthodes sur des donnée

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Won, Eric C. "Sensitivity of a general circulation inverse model to sub-grid scale parametrization coefficients." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/58432.

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Liu, Yang. "Analysis of Dependently Truncated Sample Using Inverse Probability Weighted Estimator." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/110.

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Many statistical methods for truncated data rely on the assumption that the failure and truncation time are independent, which can be unrealistic in applications. The study cohorts obtained from bone marrow transplant (BMT) registry data are commonly recognized as truncated samples, the time-to-failure is truncated by the transplant time. There are clinical evidences that a longer transplant waiting time is a worse prognosis of survivorship. Therefore, it is reasonable to assume the dependence between transplant and failure time. To better analyze BMT registry data, we utilize a Cox analysis i

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Nightingale, Miriam. "Material Characterization of Cardiovascular Biomaterials Using an Inverse Finite Element Method." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36426.

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Being able to accurately model soft tissue behaviour, such as that of heart valvular tissue, is essential for developing effective numerical simulations of in-vivo conditions and determining patient-specific care options. Although several analytical material models, based on strain energy functions, have been successful in predicting soft tissue behaviour, complications arise when these models are implemented into finite element (FE) programs due to the incorporation of a penalty parameter for numerically enforcing material incompressibility. Specifically, material parameters determined throug

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Meyer, Marcus. "Parameter identification problems for elastic large deformations - Part I: model and solution of the inverse problem." Universitätsbibliothek Chemnitz, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200901869.

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In this paper we discuss the identification of parameter functions in material models for elastic large deformations. A model of the the forward problem is given, where the displacement of a deformed material is found as the solution of a n onlinear PDE. Here, the crucial point is the definition of the 2nd Piola-Kirchhoff stress tensor by using several material laws including a number of material parameters. In the main part of the paper we consider the identification of such parameters from measured displacements, where the inverse problem is given as an optimal control problem. We introduce

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Li, Liangping. "Upscaling and Inverse Modeling of Groundwater Flow and Mass Transport in Heterogeneous Aquifers." Doctoral thesis, Universitat Politècnica de València, 2011. http://hdl.handle.net/10251/12268.

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Dividimos el trabajo en tres bloques: En el primer bloque, se han revisado las técnicas de escalado que utilizan una media simple, el método laplaciano simple, el laplaciano con piel y el escalado con mallado no uniforme y se han evaluado en un ejercicio tridimensional de escalado de la conductividad hidráulica. El campo usado como referencia es una realización condicional a escala fina de la conductividad hidráulica del experimento de macrodispersión realizado en la base de la fuerza aérea estadounidense de Columbus en Misuri (MADE en su acrónimo inglés). El objetivo de esta sección es do

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Kurniawan, Christian. "Property Localization for Grain Boundary Diffusivity via Inverse Problem Theory." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/7716.

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The structure and spatial arrangement of grain boundaries strongly affect the properties of polycrystalline materials such as corrosion, creep, weldability, superconductivity, and diffusivity. However, constructing predictive grain boundary structure-property models is taxing, both experimentally and computationally due to the high dimensionality of the grain boundary character space. The purpose of this work is to develop an effective method to infer grain boundary structure-property models from measurement of the effective properties of polycrystals by utilizing the inverse problem theory. T

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Sæbø, Karsten Krog. "Pricing Exotic Options with the Normal Inverse Gaussian Market Model using Numerical Path Integration." Thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9878.

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Skrede, Ole-Johan. "Explicit, A Priori Constrained Model Parameterization for Inverse Problems, Applied on Geophysical CSEM Data." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for matematiske fag, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-27343.

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This thesis introduce a new parameterization of the model space in global inversion problems. The parameterization provides an explicit representation of the model space with a basis constrained on a priori information about the problem at hand. It is able to represent complex model structures with few parameters, and thereby enhancing the speed of the inversion, as the number of iterations needed to converge is heavily scaled with the number of parameters in stochastic, global inversion methods. A standard Simulated Annealing optimization routine is implemented, and further extended to be abl

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Pollacco, Joseph. "Inverse methods to determine parameters in a physically based model of soil water balance." Thesis, University of Newcastle Upon Tyne, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413964.

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Wassereau, Thibault. "Caractérisation de matériaux composites par problème inverse vibratoire." Thesis, Le Mans, 2016. http://www.theses.fr/2016LEMA1041/document.

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L’usage croissant des matériaux composites dans l’industrie induit de nouvelles problématiques dans des domaines variés,notamment pour la caractérisation non destructive. Les méthodes courantes comme l’analyse modale ou les éléments finis sont rarement adaptées pour représenter la dynamique vibratoire complexe des structures composites ou quantifier leurs caractéristiques viscoélastiques, de nouvelles approches sont nécessaires.Les travaux concernent le développement et l’application d’un formalisme vibratoire inverse local, la méthode RIFF(Résolution Inverse Filtrée Fenêtrée), pour l’étude de

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