Auswahl der wissenschaftlichen Literatur zum Thema „Inverse linear model“
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Zeitschriftenartikel zum Thema "Inverse linear model"
BERNARD, James, und Mark PICKELMANN. „An Inverse Linear Model of a Vehicle“. Vehicle System Dynamics 15, Nr. 4 (Januar 1986): 179–86. http://dx.doi.org/10.1080/00423118608968850.
Der volle Inhalt der QuelleZhanatauov, S. U. „INVERSE MODEL OF MULTIPLE LINEAR REGRESSION ANALYSIS“. Theoretical & Applied Science 60, Nr. 04 (30.04.2018): 201–12. http://dx.doi.org/10.15863/tas.2018.04.60.38.
Der volle Inhalt der QuelleBorneman, Joshua, Kuo-Ping Chen, Alex Kildishev und Vladimir Shalaev. „Simplified model for periodic nanoantennae: linear model and inverse design“. Optics Express 17, Nr. 14 (25.06.2009): 11607. http://dx.doi.org/10.1364/oe.17.011607.
Der volle Inhalt der QuelleAyala, A., M. Loewe und R. Zamora. „Inverse magnetic catalysis in the linear sigma model“. Journal of Physics: Conference Series 720 (Mai 2016): 012026. http://dx.doi.org/10.1088/1742-6596/720/1/012026.
Der volle Inhalt der QuelleFang, Ximing. „A hybrid regularization model for linear inverse problems“. Filomat 36, Nr. 8 (2022): 2739–48. http://dx.doi.org/10.2298/fil2208739f.
Der volle Inhalt der QuelleHansen, Thomas Mejer, Andre G. Journel, Albert Tarantola und Klaus Mosegaard. „Linear inverse Gaussian theory and geostatistics“. GEOPHYSICS 71, Nr. 6 (November 2006): R101—R111. http://dx.doi.org/10.1190/1.2345195.
Der volle Inhalt der QuelleCho, Jeong-Mok, Bong-Soo Yoo und Joong-Seon Joh. „A Fuzzy Skyhook Algorithm Using Piecewise Linear Inverse Model“. International Journal of Fuzzy Logic and Intelligent Systems 6, Nr. 3 (01.09.2006): 190–96. http://dx.doi.org/10.5391/ijfis.2006.6.3.190.
Der volle Inhalt der QuelleZhou, Huilin, Tao Ouyang, Yadan Li, Jian Liu und Qiegen Liu. „Linear-Model-Inspired Neural Network for Electromagnetic Inverse Scattering“. IEEE Antennas and Wireless Propagation Letters 19, Nr. 9 (September 2020): 1536–40. http://dx.doi.org/10.1109/lawp.2020.3008720.
Der volle Inhalt der QuellePenland, Cécile, und Ludmila Matrosova. „Expected and Actual Errors of Linear Inverse Model Forecasts“. Monthly Weather Review 129, Nr. 7 (Juli 2001): 1740–45. http://dx.doi.org/10.1175/1520-0493(2001)129<1740:eaaeol>2.0.co;2.
Der volle Inhalt der QuelleJiang, Wen, Yi Xin Su und Dan Hong Zhang. „Research on Inverse Control of Active Magnetic Bearing Based on Fuzzy Inverse Model“. Applied Mechanics and Materials 575 (Juni 2014): 744–48. http://dx.doi.org/10.4028/www.scientific.net/amm.575.744.
Der volle Inhalt der QuelleDissertationen zum Thema "Inverse linear model"
Goudenege, Guillaume. „Développement de modèles d'optimisation de flux en logistique inverse : Applications aux contenants réutilisables“. Thesis, Châtenay-Malabry, Ecole centrale de Paris, 2013. http://www.theses.fr/2013ECAP0014.
Der volle Inhalt der QuelleIn an industrial world touched by a complicated economic environment, companies need to explore all opportunities for cost reduction and supply chain optimization. A recent optimization field developed in the literature concerns the concept of reverse logistics. This concept deals with the flows management through a supply chain in the opposite direction to the traditional one. It includes activities related to recycling, repair or products reuse. In partnership with the industrial of the “Chaire Supply Chain”, we are interested in optimizing these reverse flows by focusing more particularly on reusable containers. For that, we propose a literature review on the general concept of reverse logistics and develop a set of models covering combinations between single and multi-levels, single and multi-periods and single and multi-containers problems in order to optimize this type of returns within already defined supply chains. These models are then applied, either in a fictive way for a single-period one solved by a decomposition heuristic proposed for large logistics networks, or in a real way for multi-period models solved exactly and applied to our partners problematic. The purpose of these applications is to use these theoretical models in a real business in order to identify economic benefits but also environmental ones by taking into account emissions from these containers transportation and manufacturing
Rivers, Derick Lorenzo. „Dynamic Bayesian Approaches to the Statistical Calibration Problem“. VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3599.
Der volle Inhalt der QuelleMarchand, Basile. „Assimilation de données et recalage rapide de modèles mécaniques complexes“. Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLN053/document.
Der volle Inhalt der QuelleFor several years, the considerable changes that have occurredin computing tools have led to new practices in the simulation of mechanical structures. Among them, the motivation for this work is the Dynamic Data Driven Application Systems paradigm (DDDAS). The founding idea of this approach is to establish a dialogue between a physical system and its numericalmodel. The objective is then to (i) allow a calibration of the numerical model by means of measurements performed on the physical system; (ii) control the evolution of the physical system using theprediction given by numerical simulation. The major difficulty is to realize this dialogue in real time. This work focuses on the model updating step of the DDDAS paradigm. The problem is then to develop methods and tools to solve inverse problems taking into account various constraints, namely: (i) robustness with respect to corrupted data; (ii) genericity for considering a wide variety of problems and mechanical models; (iii) a reduced computation time in order to tend towards a real-time model updating.The starting point of this work is the modified Constitutive Relation Error, an energetic approach dedicated to the solution of inverse problems in mechanics, notably illustrated by its robustness with respect to measurement noises. First, in order to guarantee a fast identification process, we have coupled the modified Constitutive Relation Error with the PGD model reduction in the linear model framework, thus enabling a fast and automatic identification process. Then, in order to be applied to the DDDAS paradigm, we have developed an identification method based on a data assimilation process (the Kalman filter) and using the modified Constitutive Relation Error as an observer alwayswithin the framework of linear problems. We have then extended this data assimilation approach to the problem of the identification of parameter fields by introducing a separation of the spatial discretizations and by introducing tools resulting from the mesh adaptation framework. We have then addressed the problem of non-linear mechanical models, through damage and visco-plasticitymodels. To this end, we have first recast and extended the concept of the modified Constitutive Relation Error to this nonlinear material framework and we have implemented a dedicated resolution process, based on the LaTIn method. Finally, we have introduced this reformulation of the modified Constitutive Relation Error in the previously data assimilation method in order to process the model updating of nonlinear models
Rosecký, Martin. „Aplikace pokročilých regresních modelů“. Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382274.
Der volle Inhalt der QuelleGranier, Bernard. „Restauration d'images perturbees par la turbulence atmospherique“. Paris 11, 1996. http://www.theses.fr/1996PA112496.
Der volle Inhalt der QuelleFontinele, Humberto Ãcaro Pinto. „Local models for inverse kinematics approximation of redundant robots: a performance comparison“. Universidade Federal do CearÃ, 2015. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16727.
Der volle Inhalt der QuelleIn this dissertation it is reported the results of a comprehensive comparative study involving six local models applied to the task of learning the inverse kinematics of three redundant robotic arm (planar, PUMA 560 and Motoman HP6). The evaluated algorithms are the following ones: radial basis functions network (RBFN), local model network (LMN), SOMbased local linear mapping (LLM), local linear mapping over k-winners (K-SOM), local weighted regression (LWR) and counter propagation (CP). Each algorithm is evaluated with respect to its accuracy in estimating the joint angles given the cartesian coordinates which comprise end-effector trajectories within the robot workspace. A comprehensive evaluation of the performances of the aforementioned algorithms is carried out based on correlation analysis of the residuals. Finally, hypothesis testing procedures are also executed in order to verifying if there are significant differences in performance among the best algorithms.
Nesta dissertaÃÃo sÃo reportados os resultados de um amplo estudo comparativo envolvendo seis modelos locais aplicados à tarefa de aproximaÃÃo do modelo cinemÃtico inverso de 3 robÃs manipuladores (planar, PUMA 560 e Motoman HP6). Os modelos avaliados sÃo os seguintes: rede de funÃÃes de base radial (RBFN), rede de modelos locais (LMN), mapeamento linear local baseado em SOM (LLM), mapeamento linear local usando K vencedores (KSOM), regressÃo local ponderada (LWR) e rede counterpropagation (CP). Estes algoritmos sÃo avaliados quanto à acurÃcia na estimaÃÃo dos Ãngulos das juntas dos robÃs manipuladores em experimentos envolvendo a geraÃÃo de vÃrios tipos de trajetÃrias no espaÃo de trabalho dos referidos robÃs. Uma avaliaÃÃo abrangente do desempenho de cada algoritmo à feita com base na anÃlise dos resÃduos e testes de hipÃteses sÃo realizados para verificar a semelhanÃa estatistica entre os desempenhos dos melhores algoritmos.
Heijden, Luuk van der. „Determination of the food sources and of the role of meiofauna in soft-bottom intertidal habitats of the Marennes-Oléron Bay, France, and the Sylt-Rømø Bight, Germany : importance of the microphytobenthos-meiofauna pathway, highlighted by community structure, trophic markers and linear inverse food web models“. Thesis, La Rochelle, 2018. http://www.theses.fr/2018LAROS030/document.
Der volle Inhalt der QuelleMeiofauna play an important role in ecosystem processes in soft-bottom benthic habitats, e.g. food web dynamics, related to their highproduction, their intermediate trophic position and the energy they transfer towards higher trophic levels. The trophic linkages and flows of organic matter related to the meiofauna remain poorly known or taken into account. To better assess the role of meiofauna, the community structure and trophic relationships between food sources and meiofauna were determined in five intertidal soft-bottom habitats (i.e., mudflat, seagrass bed, sandflat) of the Marennes-Oléron Bay, France, and the Sylt-Rømø Bight, Germany, taking temporal variations into account. Meiofauna communities were dominated by nematodes and benthic copepods. Biomass of microphytobenthos and of sediment organic matter were two of the major drivers of community structure. The combination of trophic markers (i.e., stable isotopes, fatty acids) demonstrated that microphytobenthos and bacteria were the major food sources of meiofauna in the five habitats. Information from community structure assessments and trophic marker analyses were implemented in food web models. In all habitats, these models demonstrated that the main flow of carbon to meiofauna originated from microphytobenthos, highlighting negligible changes in meiofauna feeding behavior besides the large differences in availability and productivity of food sources between these habitats. All trophic groups of nematodes, except for selective deposit feeding nematodes, were highly selective and mainly fed on microphytobenthos, resulting in a high production and a short turn-over time of meiofauna. In conclusion, this thesis demonstrated the important role of meiofauna in soft-bottom habitats as well as the importance of the trophic pathway from microphytobenthos to meiofauna in the functioning of these food webs
Greiner, Eric. „Mise en oeuvre de méthodes de contrôle optimal pour l'assimilation de données in situ et satellitaires dans les modèles océaniques“. Paris 6, 1993. http://www.theses.fr/1993PA066108.
Der volle Inhalt der QuelleSandberg, Henrik. „Linear Time-Varying Systems: Modeling and Reduction“. Licentiate thesis, Lund University, Department of Automatic Control, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-74720.
Der volle Inhalt der QuelleQC 20120208
Brady, Kaitlyn. „Learning Curves in Emergency Ultrasonography“. Digital WPI, 2012. https://digitalcommons.wpi.edu/etd-theses/1150.
Der volle Inhalt der QuelleBücher zum Thema "Inverse linear model"
C, Hsuan Francis, Hrsg. 2-inverses and their statistical application. New York: Springer-Verlag, 1988.
Den vollen Inhalt der Quelle findenVoronin, Evgeniy, Aleksandr Chibunichev und Yuriy Blohinov. Reliability of solving inverse problems of analytical photogrammetry. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/2010462.
Der volle Inhalt der QuelleMas, André, und Besnik Pumo. Linear Processes for Functional Data. Herausgegeben von Frédéric Ferraty und Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.3.
Der volle Inhalt der QuelleConnected Mathematics 2 thinking with mathematical models: Linear and inverse variation. USA, Boston, Massachusetts: pearson prentice hall, 2007.
Den vollen Inhalt der Quelle findenFriel, Susan N., Glenda Lappan, James T. Fey, William M. Fitzgerald und Elizabeth Difanis Phillips. Thinking with Mathematical Models: Linear and Inverse Variation (Connected Mathematics 2). Pearson Prentice Hall, 2006.
Den vollen Inhalt der Quelle findenFriel, Susan N., Glenda Lappan, James T. Fey, William M. Fitzgerald und Elizabeth Difanis Phillips. Thinking with Mathematical Models: Linear and Inverse Variation (Connected Mathematics 2). Pearson Prentice Hall, 2006.
Den vollen Inhalt der Quelle findenFey, Fitzgerald Friel &. Phillips Lappan. Thinking with Mathematical Models (Linear & Inverse Variation) Teacher's Guide, Connected Mathematics 2. Pearson Prentice Hall, 2006.
Den vollen Inhalt der Quelle findenPUBLISHER, PRENTICE HALL. CONNECTED MATHEMATICS 3 STUDENT EDITION GRADE 8 : THINKING with MATHEMATICAL MODELS: LINEAR and INVERSE VARIATION COPYRIGHT 2018. Savvas Learning Company, 2017.
Den vollen Inhalt der Quelle findenConnected Mathematics 3 Student Edition Grade 8 : Thinking with Mathematical Models: Linear and Inverse Variation Copyright 2014. Savvas Learning Company, 2013.
Den vollen Inhalt der Quelle findenPUBLISHER, PRENTICE HALL. Connected Mathematics 3 Spanish Student Edition Grade 8 : Thinking with Mathematical Models: Linear and Inverse Variation Copyright 2014. Savvas Learning Company, 2014.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Inverse linear model"
Choze, Sergio B., Rogerio R. Santos, Ariosto B. Jorge und Guilherme F. Gomes. „An overview of Linear and Non-linear Programming methods for Structural Optimization“. In Model-based and Signal-Based Inverse Methods, 65–106. Brasilia: Biblioteca Central da Universidade de Brasilia, 2022. http://dx.doi.org/10.4322/978-65-86503-71-5.c03.
Der volle Inhalt der QuelleEvensen, Geir, Femke C. Vossepoel und Peter Jan van Leeuwen. „Linear EnKF Update“. In Springer Textbooks in Earth Sciences, Geography and Environment, 139–45. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96709-3_13.
Der volle Inhalt der QuelleVardi, Y. „Applications of the EM Algorithm to Linear Inverse Problems with Positivity Constraints“. In Image Models (and their Speech Model Cousins), 183–98. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-4056-3_11.
Der volle Inhalt der QuelleTrajkovska, Vera, Paul Swoboda, Freddie Åström und Stefania Petra. „Graphical Model Parameter Learning by Inverse Linear Programming“. In Lecture Notes in Computer Science, 323–34. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58771-4_26.
Der volle Inhalt der QuelleMartínez, I., I. Ortiz und C. Rodríguez. „Optimum Experimental Designs for a Modified Inverse Linear Model“. In mODa 6 — Advances in Model-Oriented Design and Analysis, 171–81. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-642-57576-1_19.
Der volle Inhalt der QuelleNguyen, Ngoc Anh, Sorin Olaru, Pedro Rodriguez-Ayerbe, Morten Hovd und Ion Necoara. „Fully Inverse Parametric Linear/Quadratic Programming Problems via Convex Liftings“. In Developments in Model-Based Optimization and Control, 27–47. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26687-9_2.
Der volle Inhalt der QuelleEyheramendy, Susana, und David Madigan. „A flexible Bayesian generalized linear model for dichotomous response data with an application to text categorization“. In Complex Datasets and Inverse Problems, 76–91. Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2007. http://dx.doi.org/10.1214/074921707000000067.
Der volle Inhalt der QuellePillonetto, Gianluigi, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao und Lennart Ljung. „Regularization for Linear System Identification“. In Regularized System Identification, 135–80. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95860-2_5.
Der volle Inhalt der QuelleCampos, Damián, Andrés Ajras, Lucas Goytiño und Marcelo Piovan. „Bayesian Inversion of a Non-linear Dynamic Model for Stockbridge Dampers“. In Proceedings of the XV Ibero-American Congress of Mechanical Engineering, 3–9. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38563-6_1.
Der volle Inhalt der QuelleBapat, R. B. „Generalized Inverses“. In Linear Algebra and Linear Models, 31–36. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2739-0_4.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Inverse linear model"
Drouard, Vincent, Sileye Ba und Radu Horaud. „Switching Linear Inverse-Regression Model for Tracking Head Pose“. In 2017 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2017. http://dx.doi.org/10.1109/wacv.2017.142.
Der volle Inhalt der QuelleJasinska, Elzbieta. „ESTIMATION LINEAR MODEL USING BLOCK GENERALIZED INVERSE OF A MATRIX“. In 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bb2.v2/s09.022.
Der volle Inhalt der QuelleSun, Shilong, Bert Jan Kooij und Alexander G. Yarovoy. „Solving the PEC inverse scattering problem with a linear model“. In 2016 URSI International Symposium on Electromagnetic Theory (EMTS). IEEE, 2016. http://dx.doi.org/10.1109/ursi-emts.2016.7571336.
Der volle Inhalt der QuelleAldrian, Oswald, und William A. P. Smith. „Inverse rendering in SUV space with a linear texture model“. In 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). IEEE, 2011. http://dx.doi.org/10.1109/iccvw.2011.6130337.
Der volle Inhalt der QuelleSerrani, A. „Output regulation for over-actuated linear systems via inverse model allocation“. In 2012 IEEE 51st Annual Conference on Decision and Control (CDC). IEEE, 2012. http://dx.doi.org/10.1109/cdc.2012.6426209.
Der volle Inhalt der QuelleRamirez-Martinez, O. L., E. A. Martinez-Garcia, R. E. Mohan und J. K. Sheba. „Mobile robot adaptive trajectory control: Non-linear path model inverse transformation for model reference“. In 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV). IEEE, 2014. http://dx.doi.org/10.1109/icarcv.2014.7064420.
Der volle Inhalt der QuelleBraghin, Francesco, Simone Cinquemani und Ferruccio Resta. „Power Harvesting Through Magnetostrictive Devices: A Linear Model“. In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24888.
Der volle Inhalt der QuelleLee, K. Y., und Hee-Sang Ko. „Power system stabilization using a free model based inverse dynamic linear controller“. In Proceedings of Power Engineering Society Summer Meeting. IEEE, 2001. http://dx.doi.org/10.1109/pess.2001.970190.
Der volle Inhalt der QuelleZayani, R., Rim Guedria und R. Bouallegue. „Compensation of the OFDM non-linear distortions by the inverse model method“. In 8th International Conference on Advanced Communication Technology. IEEE, 2006. http://dx.doi.org/10.1109/icact.2006.206412.
Der volle Inhalt der QuelleChebotarev, Alexander, Pavel Mesenev und Andrey Kovtanyuk. „Inverse problem with unknown sources for a quasi-linear complex heat transfer model“. In 2023 Days on Diffraction (DD). IEEE, 2023. http://dx.doi.org/10.1109/dd58728.2023.10325734.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Inverse linear model"
Yu, Guoshen, Guillermo Sapiro und Stephane Mallat. Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity. Fort Belvoir, VA: Defense Technical Information Center, Juni 2010. http://dx.doi.org/10.21236/ada540722.
Der volle Inhalt der QuellePoppeliers, Christian, Katherine Anderson Aur und Leiph Preston. The use of atmospheric prediction models to invert infrasound for linear-equivalent time domain moment tensors: Source Physics Experiment Phase 1. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1468382.
Der volle Inhalt der QuelleKrause, Thomas, Mehrdad Keshefi, Ross Underhill und Lynann Clapham. PR652-203801-R02 Magnetic Object Model for Large Standoff Magnetometry Measurement. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2021. http://dx.doi.org/10.55274/r0012151.
Der volle Inhalt der QuelleJury, William A., und David Russo. Characterization of Field-Scale Solute Transport in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, Januar 1994. http://dx.doi.org/10.32747/1994.7568772.bard.
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