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Готові списки джерел за темами / Parameters Model

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Добірка наукової літератури з теми "Parameters Model"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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Статті в журналах з теми "Parameters Model"

1

Shpolianskyi, O. "ADJUSTMENT OF THE MATLAB SURGE ARRESTER MODEL PARAMETERS." Tekhnichna Elektrodynamika 2020, no. 5 (2020): 49–53. http://dx.doi.org/10.15407/techned2020.05.049.

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2

Meedeniya, Indika, Irene Moser, Aldeida Aleti, and Lars Grunske. "Evaluating probabilistic models with uncertain model parameters." Software & Systems Modeling 13, no. 4 (2012): 1395–415. http://dx.doi.org/10.1007/s10270-012-0277-5.

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3

Badiul Alam, Abul Hasan Md, Junichiro Takeuchi, and Toshihiko Kawachi. "Identification and Uncertainty Assessment of Model Parameters of Distributed Runoff Model Using Bayesian Inference." Journal of Rainwater Catchment Systems 13, no. 1 (2007): 1–10. http://dx.doi.org/10.7132/jrcsa.kj00004675580.

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4

Vajda, F., and E. D. Della Torre. "Relationship between model parameters and recording industry parameters." IEEE Transactions on Magnetics 33, no. 2 (1997): 1588–91. http://dx.doi.org/10.1109/20.582570.

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5

García Sánchez, F. J., J. J. Liou, and A. Ortiz-Conde. "Calculating double-exponential diode model parameters from previously extracted single-exponential model parameters." Electronics Letters 31, no. 1 (1995): 71–72. http://dx.doi.org/10.1049/el:19950030.

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6

Vareikyte, Aiste. "Model parameters to helping women in crisis pregnancy: Specialists’ view." New Trends and Issues Proceedings on Humanities and Social Sciences 2, no. 6 (2017): 66–74. http://dx.doi.org/10.18844/gjhss.v2i6.1432.

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7

Greenland, Sander, and George Maldonado. "The interpretation of multiplicative-model parameters as standardized parameters." Statistics in Medicine 13, no. 10 (1994): 989–99. http://dx.doi.org/10.1002/sim.4780131002.

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8

Reński, Andrzej. "Identification of Driver Model Parameters." International Journal of Occupational Safety and Ergonomics 7, no. 1 (2001): 79–92. http://dx.doi.org/10.1080/10803548.2001.11076478.

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9

Jeff B. Blau, D. A. Woolhiser, and L. J. Lane. "Identification of Erosion Model Parameters." Transactions of the ASAE 31, no. 3 (1988): 0839–45. http://dx.doi.org/10.13031/2013.30789.

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10

BARKER, ANTHONY R. "STATUS OF STANDARD MODEL PARAMETERS." International Journal of Modern Physics A 16, supp01a (2001): 25–40. http://dx.doi.org/10.1142/s0217751x01006280.

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Анотація:

Recent experimental progress in determining the parameters of the electroweak sector of the Standard Model is summarized. The principal topics addressed include the precision determination of electroweak parameters using LEP and SLD data at the Z0 pole, measurements of the W mass by LEP-II, CDF, and D0, and determination of the elements of the CKM matrix using a variety of experimental methods.

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Більше джерел

Дисертації з теми "Parameters Model"

1

Nevlydov, I., V. Yevsieiev, S. Miliutina, and V. Bortnikova. "Accelerometers production technological process decomposition parameters model." Thesis, 2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH), 2016. http://openarchive.nure.ua/handle/document/3508.

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2

Kurskoy, Yu S., O. S. Hnatenko, Yu P. Machekhin, and M. V. Neofitnyy. "Topological Model of Laser Emission Parameters Research." Thesis, CAOL, 2019. http://openarchive.nure.ua/handle/document/15100.

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Анотація:

The research paper presents a model for studying both the parameters and dynamics of laser light as a nonlinear dynamic system. The model provides for the measurement of the values of physical quantities by non-linear metrology methods and the analysis of the research findings with topological tools. The model is based on the assumption of interval values of the measured values and the possibility of changing the stationary dynamics into the random one. The model contains an experiment scheme and a procedure for evaluating measurement results. The peculiarity of the model lies in its systemic

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3

Ahlberg, Jörgen. "Model-based coding : extraction, coding, and evaluation of face model parameters /." Linköping : Univ, 2002. http://www.bibl.liu.se/liupubl/disp/disp2002/tek761s.pdf.

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4

Mrákava, Petr. "Realizace počítačových modelů vedení pro PLC." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218227.

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Анотація:

The subject of this thesis is to become familiar with the different parameters describing the lines, and the possibility of modeling data and power models. The thesis also outlined the difference in the mechanical structure of different types of cables. The practical part focuses only on the power cables and measure their basic parameters. Then is created computer model which describes the behavior of cable lines at higher frequencies than are primarily intended. The final section is an experimental network created by the PLC for remote reading of electricity meters, and it measured different

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5

Keye, Stefan. "Model updating of modal parameters from experimental data and applications in aerospace." Thesis, University of Greenwich, 2003. http://gala.gre.ac.uk/6209/.

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Анотація:

The research in this thesis is associated with different aspects of experimental analyses of structural dynamic systems and the correction of the corresponding mathematical models using the results of experimental investigations as a reference. A comprehensive finite-element model updating software technology is assembled and various novel features are implemented. The software technology is integrated into an experimental test facility for structural dynamic identification and used in a number of real life aerospace applications which illustrate the advantages of the new features. To improve

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6

Mölders, Nicole. "On the sensitivity of model results to the choice of surface parameters." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-214875.

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The uncertainty of predicted fluxes, variables of state, cloud- and precipitation formation to the choice of plant- and soil parameters, soil type, subgrid-scale heterogeneity and inhomogeneity is examined by results of simulations wherein one parameter is alternatively changed for all grid cells of the domain within its natural range of variability. A higher sensitivity of evapotranspiration to evaporative conductivity, roughness length, and subgridscale heterogeneity or inhomogeneity is found than for the other parameters examined. Except for wind velocity, the quantities of liquid and solid

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7

Unver, Alper. "Determination Of Stochastic Model Parameters Of Inertial Sensors." Phd thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615548/index.pdf.

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Анотація:

ABSTRACT DETERMINATION OF STOCHASTIC MODEL PARAMETERS OF INERTIAL SENSORS &Uuml<br>nver, Alper PhD, Department of Electric Electronic Engineering Supervisor: Prof. Dr. M&uuml<br>beccel Demirekler January 2013, 82 pages Gyro and accelerometer systematic errors due to biases, scale factors, and misalignments can be compensated via an on-board Kalman filtering approach in a Navigation System. On the other hand, sensor random noise sources such as Quantization Noise (QN), Angular Random Walk (ARW), Flicker Noise (FN), and Rate Random Walk (RRW) are not easily estimated by an on-boa

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8

Bornitz, Matthias, Thomas Zahnert, Hans-Jürgen Hardtke, and Karl-Bernd Hüttenbrink. "Identification of Parameters for the Middle Ear Model." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-135790.

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This paper presents a method of parameter identification for a finite-element model of the human middle ear. The parameter values are estimated using a characterization of the difference in natural frequencies and mode shapes of the tympanic membrane between the model and the specimens. Experimental results were obtained from temporal bone specimens under sound excitation (300–3,000 Hz). The first 3 modes of the tympanic membrane could be observed with a laser scanning vibrometer and were used to estimate the stiffness parameters for the orthotropic finite-element model of the eardrum. A furth

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9

Dong, Chen-Koung. "Measurement of printer parameters for model-based halftoning." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12812.

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10

Farooq, Muhammad Omer. "Observational constraints on dark energy cosmological model parameters." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/16623.

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Doctor of Philosophy<br>Department of Physics<br>Bharat Ratra<br>The expansion rate of the Universe changes with time, initially slowing (decelerating) when the universe was matter dominated, because of the mutual gravitational attraction of all the matter in it, and more recently speeding up (accelerating). A number of cosmological observations now strongly support the idea that the Universe is spatially flat (provided the dark energy density is at least approximately time independent) and is currently undergoing an accelerated cosmological expansion. A majority of cosmologists consider ``dar

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Більше джерел

Книги з теми "Parameters Model"

1

Gliebe, John, Mark Bradley, Nazneen Ferdous, Maren Outwater, Haiyun Lin, and Jason Chen. Transferability of Activity-Based Model Parameters. Transportation Research Board, 2014. http://dx.doi.org/10.17226/22384.

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2

Willke, Donald T. CRASH III model improvements: Vehicle categorization for stiffness parameters. U.S. Dept. of Transportation, National Highway Traffic Safety Administration, 1987.

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3

Christianus Bernardus Maria Te Stroet. Calibration of stochastic groundwater flow models: Estimation of noise statistics and model parameters. Eburon], 1995.

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4

Houston, Walter M. Empirical Bayes estimates of parameters from the logistic regression model. ACT, Inc., 1997.

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5

Narendranathan, W. Estimating the parameters of interest in a job search model. University of Warwick Department of Economics, 1985.

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6

Houston, Walter M. Empirical Bayes estimates of parameters from the logistic regression model. ACT, Inc., 1997.

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7

Tapia-Aguilar, Alberto. Accurate confidence intervals for regression parameters in proportional hazards model. [s.n.], 1994.

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8

Vladislav, Klein, and United States. National Aeronautics and Space Administration., eds. Accuracy of aerodynamic model parameters estimated from flight test data. American Institute of Aeronautics and Astronautics, 1997.

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9

1953-, Hayes Kim F., U.S. Nuclear Regulatory Commission. Division of Low-Level Waste Management and Decommissioning., and Stanford University. Dept. of Civil Engineering., eds. Application of surface complexation models for radionuclide adsorption: Sensitivity analysis of model input parameters. Division of Low-Level Waste Management and Decommissioning, Office of Nuclear Material Safety and Safeguards, U.S. Nuclear Regulatory Commission, 1990.

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10

1953-, Hayes Kim F., U.S. Nuclear Regulatory Commission. Division of Low-Level Waste Management and Decommissioning., and Stanford University. Dept. of Civil Engineering., eds. Application of surface complexation models for radionuclide adsorption: Sensitivity analysis of model input parameters. Division of Low-Level Waste Management and Decommissioning, Office of Nuclear Material Safety and Safeguards, U.S. Nuclear Regulatory Commission, 1990.

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Частини книг з теми "Parameters Model"

1

Gorokhovski, Vikenti. "Model Identification." In Effective Parameters of Hydrogeological Models. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03569-7_4.

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2

Rasmussen, Mikkel. "Estimating Model Parameters." In Quantitative Portfolio Optimisation, Asset Allocation and Risk Management. Palgrave Macmillan UK, 2003. http://dx.doi.org/10.1057/9780230512856_7.

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3

Bolder, David. "Finding Model Parameters." In Modelling Economic Capital. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-95096-5_3.

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4

Zimmerman, Dale L. "Inference for Variance–Covariance Parameters." In Linear Model Theory. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52063-2_16.

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5

Zimmerman, Dale L. "Inference for Variance–Covariance Parameters." In Linear Model Theory. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52074-8_16.

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6

Thiem, Xaver, Holger Rudolph, Robert Krahn, Steffen Ihlenfeldt, Christof Fetzer, and Jens Müller. "Adaptive Thermal Model for Structure Model Based Correction." In Lecture Notes in Production Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34486-2_6.

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AbstractThis paper discusses structure model based correction of thermal induced errors at machine tools. Using a machine model evaluated in thermal real-time, the thermal induced errors at the tool center point (TCP) are calculated based on information gotten from the machine control (e.g., axes velocities, positions, and motor currents) and ambient temperature. The machine model describes the physical relationships and considers the structure and structural variability resulting in traverse movements of the feed axes – the so-called structure model. To create this, finite elements are used a

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7

Seidel-Morgenstern, Andreas, Henner Schmidt-Traub, Mirko Michel, Achim Epping, and Andreas Jupke. "Modeling and Model Parameters." In Preparative Chromatography. Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527649280.ch6.

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8

Hoggard, Patrick E. "Angular Overlap Model Parameters." In Structure and Bonding. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b11304.

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9

Piché, Robert. "Estimation of Model Parameters." In Mathematical Modeling with Multidisciplinary Applications. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118462706.ch8.

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10

Friswell, M. I., and J. E. Mottershead. "Parameters for Model Updating." In Finite Element Model Updating in Structural Dynamics. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8508-8_6.

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Тези доповідей конференцій з теми "Parameters Model"

1

Orfao, Beatriz, Mahmoud Abou-Daher, Malek Zegaoui, et al. "GaN Schottky Diodes Parameter Extraction Model from S-Parameters Measurement." In 2024 19th European Microwave Integrated Circuits Conference (EuMIC). IEEE, 2024. http://dx.doi.org/10.23919/eumic61603.2024.10732802.

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2

Nutaro, James. "Inferring Reliability Model Parameters from Expert Opinion." In 2024 Winter Simulation Conference (WSC). IEEE, 2024. https://doi.org/10.1109/wsc63780.2024.10838755.

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3

Chen, Bo-Jhih, Jen-Han Lin, Yu-Shan Cheng, Jia-Hong Fang, and Yi-Hua Liu. "Parameter Identification of the Parameters of Lithium-Ion Battery Model Based on Metaheuristic Algorithms." In 2024 16th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2024. http://dx.doi.org/10.1109/iiai-aai63651.2024.00154.

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4

Kopka, Ryszard, and Rafał Stanisławski. "Identification of the Thermal Model Parameters of Industrial Supercapacitors." In 2024 28th International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2024. http://dx.doi.org/10.1109/mmar62187.2024.10680780.

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5

Yarba, Julia, Krzysztof Genser, Soon Jun, Alberto Ribon, and Vladimir Uzhinksy. "Optimizing Geant4 Hadronic Model Parameters." In Optimizing Geant4 Hadronic Model Parameters. US DOE, 2023. http://dx.doi.org/10.2172/1973457.

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6

Yarba, Julia. "Comments on Several FTF Annihilation Model Parameters." In Comments on Several FTF Annihilation Model Parameters. US DOE, 2021. http://dx.doi.org/10.2172/1827847.

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7

EL Baccouri, Hamza, Goulven Guillou, and Jean-Philippe Babau. "A Model-Driven Approach to Automate Tuning of Continuous Controller Parameters." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00087.

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8

Faghih, R. T., K. Savla, M. A. Dahleh, and E. N. Brown. "The Fitzhugh-Nagumo model: Firing modes with time-varying parameters & parameter estimation." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5627326.

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9

Yarba, Julia. "Exploring FTF Quark Exchange Model Parameters: Quark Exchange without Excitation of Participants." In Exploring FTF Quark Exchange Model Parameters: Quark Exchange without Excitation of Participants. US DOE, 2021. http://dx.doi.org/10.2172/1827863.

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10

Dihua, Guan, Dang Zhaolong, and Fan Chengjian. "Tire Model by Using Modal Parameters Directly (MPTM)." In SAE World Congress & Exhibition. SAE International, 2007. http://dx.doi.org/10.4271/2007-01-1512.

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Звіти організацій з теми "Parameters Model"

1

Hauzenberger, Niko, Florian Huber, Gary Koop, and James Mitchell. Bayesian modeling of time-varying parameters using regression trees. Federal Reserve Bank of Cleveland, 2023. http://dx.doi.org/10.26509/frbc-wp-202305.

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In light of widespread evidence of parameter instability in macroeconomic models, many time-varying parameter (TVP) models have been proposed. This paper proposes a nonparametric TVP-VAR model using Bayesian additive regression trees (BART). The novelty of this model stems from the fact that the law of motion driving the parameters is treated nonparametrically. This leads to great flexibility in the nature and extent of parameter change, both in the conditional mean and in the conditional variance. In contrast to other nonparametric and machine learning methods that are black box, inference us

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2

Bass, J. N., N. Grossbard, and E. C. Robinson. Statistical Parameters for Describing Model Accuracy. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada209933.

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3

Bjorken, James. Standard Model Parameters and the Cosmological Constant. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/784897.

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4

Niekum, Scott, Sarah Osentoski, Christopher G. Atkeson, and Andrew G. Barto. CHAMP: Changepoint Detection Using Approximate Model Parameters. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada605983.

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5

Gupta, R., T. Bhattacharya, P. Tamayo, T. Grandy, G. Kilcup, and S. Sharpe. Nonperturbative estimates of the Standard Model parameters. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/521572.

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6

Moeller, P., J. R. Nix, and W. Swiatecki. Parameters and error of a theoretical model. Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/6977117.

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7

M. Wasiolek. Inhalation Exposure Input Parameters for the Biosphere Model. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/893536.

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M. Wasiolek. Soil-Related Input Parameters for the Bioshere Model. Yucca Mountain Project, Las Vegas, Nevada, 2006. http://dx.doi.org/10.2172/899228.

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M. A. Wasiolek. Environmental Transport Input Parameters for the Biosphere Model. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/836513.

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M. Wasiolek. Environmental Transport Input Parameters for the Biosphere Model. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/838327.

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