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Artykuły w czasopismach na temat "Stochastic algorithms parameters identification"
Zhang, Ce, Xiangxiang Meng i Yan Ji. "Parameter Estimation of Fractional Wiener Systems with the Application of Photovoltaic Cell Models". Mathematics 11, nr 13 (30.06.2023): 2945. http://dx.doi.org/10.3390/math11132945.
Pełny tekst źródłaJi, Yuejiang, i Lixin Lv. "Two Identification Methods for a Nonlinear Membership Function". Complexity 2021 (30.04.2021): 1–7. http://dx.doi.org/10.1155/2021/5515888.
Pełny tekst źródłaHu, Huiyi, Xiao Yongsong i Rui Ding. "Multi-Innovation Stochastic Gradient Identification Algorithm for Hammerstein Controlled Autoregressive Autoregressive Systems Based on the Key Term Separation Principle and on the Model Decomposition". Journal of Applied Mathematics 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/596141.
Pełny tekst źródłaOlama, Mohammed M., Kiran K. Jaladhi, Seddik M. Djouadi i Charalambos D. Charalambous. "Recursive Estimation and Identification of Time-Varying Long-Term Fading Channels". Research Letters in Signal Processing 2007 (2007): 1–5. http://dx.doi.org/10.1155/2007/17206.
Pełny tekst źródłaMa, Ping, i Lei Wang. "Partially Coupled Stochastic Gradient Estimation for Multivariate Equation-Error Systems". Mathematics 10, nr 16 (16.08.2022): 2955. http://dx.doi.org/10.3390/math10162955.
Pełny tekst źródłaTsyganov, Andrey, i Yulia Tsyganova. "SVD-Based Identification of Parameters of the Discrete-Time Stochastic Systems Models with Multiplicative and Additive Noises Using Metaheuristic Optimization". Mathematics 11, nr 20 (15.10.2023): 4292. http://dx.doi.org/10.3390/math11204292.
Pełny tekst źródłaKovacevic, Ivana, Branko Kovacevic i Zeljko Djurovic. "On strong consistency of a class of recursive stochastic Newton-Raphson type algorithms with application to robust linear dynamic system identification". Facta universitatis - series: Electronics and Energetics 21, nr 1 (2008): 1–21. http://dx.doi.org/10.2298/fuee0801001k.
Pełny tekst źródłaMaitre, Julien, Sébastien Gaboury, Bruno Bouchard i Abdenour Bouzouane. "A Black-Box Model for Estimation of the Induction Machine Parameters Based on Stochastic Algorithms". International Journal of Monitoring and Surveillance Technologies Research 3, nr 3 (lipiec 2015): 44–67. http://dx.doi.org/10.4018/ijmstr.2015070103.
Pełny tekst źródłaHsu, Geesern, Andrew E. Yagle, Kenneth C. Ludema i Joel A. Levitt. "Modeling and Identification of Lubricated Polymer Friction Dynamics". Journal of Dynamic Systems, Measurement, and Control 122, nr 1 (11.10.1996): 78–88. http://dx.doi.org/10.1115/1.482431.
Pełny tekst źródłaKrasheninnikov, Viktor R., Yuliya E. Kuvayskova, Olga E. Malenova i Aleksey Y. Subbotin. "PSEUDOGRADIENT ALGORITHM FOR IDENTIFICATION OF DOUBLY STOCHASTIC CYLINDRICAL IMAGE". Автоматизация процессов управления 2, nr 64 (2021): 56–65. http://dx.doi.org/10.35752/1991-2927-2021-2-64-56-65.
Pełny tekst źródłaRozprawy doktorskie na temat "Stochastic algorithms parameters identification"
Larsson, Erik. "Identification of stochastic continuous-time systems : algorithms, irregular sampling and Cramér-Rao bounds /". Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3944.
Pełny tekst źródłaKoenig, Guillaume. "Par vagues et marées : étude de la circulation hydrodynamique d’un lagon étroit de Nouvelle-Calédonie et identification des conditions aux bords à l’aide d’un algorithme stochastique". Electronic Thesis or Diss., Aix-Marseille, 2021. http://www.theses.fr/2021AIXM0533.
Pełny tekst źródłaIn this thesis, I have studied the hydrodynamics of the Ouano coral lagoon in NewCaledonia and implemented a novel parameter identification algorithm to do so.Wave-breaking and tides dominate the Ouano lagoon; I wanted to evaluate theirimpact on the lagoon flushing.Several studies have been done in the lagoon before. I rely on both their findings forthe circulation and their tools for the modeling, namely the CROCO ( Coastal RegionalOcean COmmunity model) of C. Chevalier. I also have used data collected in 2016 inthe lagoon. However, some uncertainties remained on the amount of water broughtby the tides and the wave-breaking in the lagoon. Also, the parametrization of thewave-breaking friction coefficient and the tidal boundary conditions in the numericalmodel was uncertain.I implemented and tested a tool to improve those parametrizations or other modelparameters. This tool was a stochastic parameter identification algorithm, the Simul-taneous Perturbations Stochastic Approximations (SPSA) algorithm.We first tested different variants of the algorithm in a controlled environment andwith a 1-D turbulence model. Then I have used this algorithm to identify boundaryconditions with a linear tidal model of the Ouano lagoon. Finally, I have used thealgorithm to study the impact of the wave-breaking on the measurement of tides inthe Ouano
Jenča, Pavol. "Identifikace parametrů elektrických motorů metodou podprostorů". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219678.
Pełny tekst źródłaDebonos, Andreas A. "Estimation of non-linear ship roll parameters using stochastic identification techniques". Thesis, University of Sussex, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295784.
Pełny tekst źródłaAlamyal, Mohamoud Omran A. "Evaluation of stochastic optimisation algorithms for induction machine winding fault identification". Thesis, University of Newcastle upon Tyne, 2013. http://hdl.handle.net/10443/1937.
Pełny tekst źródłaZhou, 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.
Pełny tekst źródłaZhou ., H. (2011). Stochastic Inverse Methods to Identify non-Gaussian Model Parameters in Heterogeneous Aquifers [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/12267
Palancia
Dong, Wei. "Identification of Electrical Parameters in A Power Network Using Genetic Algorithms and Transient Measurements". Thesis, University of Nottingham, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.523043.
Pełny tekst źródłavan, Wyk Hans-Werner. "A Variational Approach to Estimating Uncertain Parameters in Elliptic Systems". Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/27635.
Pełny tekst źródłaPh. D.
Harth, Tobias [Verfasser]. "Identification of Material Parameters for Inelastic Constitutive Models : Stochastic Simulation and Design of Experiments / Tobias Harth". Aachen : Shaker, 2003. http://d-nb.info/1179036204/34.
Pełny tekst źródłaWong, king-fung, i 黃景峰. "Non-coding RNA identification along genome". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B4581949X.
Pełny tekst źródłaKsiążki na temat "Stochastic algorithms parameters identification"
System identification with quantized observations. Boston: Birkhäuser, 2010.
Znajdź pełny tekst źródłaR, Kumar. A novel multistage estimation of the signal parameters of a possibly data-modulated sinusoid under very high dynamics. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1989.
Znajdź pełny tekst źródłaKamenskaya, Valentina, i Leonid Tomanov. The fractal-chaotic properties of cognitive processes: age. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1053569.
Pełny tekst źródłaFarooqi, Zarreen H. H. Identification of stochastic systems with random parameters with particular reference to the recirculating lymphocytes in the immune system. 1986.
Znajdź pełny tekst źródłaLarsson, Erik. Identification of Stochastic Continuous-Time Systems: Algorithms, Irregular Sampling & Cramer-Rao Bounds (Uppsala Dissertations from the Faculty of Science & Technology, 52). Uppsala Universitet, 2003.
Znajdź pełny tekst źródłaZhang, Ji-Feng, Le Yi Wang i G. George Yin. System Identification with Quantized Observations. Birkhäuser, 2010.
Znajdź pełny tekst źródłaLeondes, Cornelius T. Control and Dynamic Systems: Advances in Theory and Applications : Advances in Algorithms and Computational Techniques in Dynamic Systems Control, P (Control and Dynamic Systems). Academic Press, 1989.
Znajdź pełny tekst źródłaAllen, Michael P., i Dominic J. Tildesley. Molecular dynamics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0003.
Pełny tekst źródłaCzęści książek na temat "Stochastic algorithms parameters identification"
Al-Ani, Tarik, i Yskander Hamam. "Parameters identification of a time-varying stochastic dynamic systems using Viterbi algorithm". W System Modelling and Optimization, 567–73. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-0-387-34897-1_69.
Pełny tekst źródłaBenveniste, Albert, Michel Métivier i Pierre Priouret. "Tracking Non-Stationary Parameters". W Adaptive Algorithms and Stochastic Approximations, 120–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75894-2_5.
Pełny tekst źródłaGuo, L., H. F. Chen i J. F. Zhang. "Identification of Stochastic Time-Varying Parameters". W The IMA Volumes in Mathematics and its Applications, 211–23. New York, NY: Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4613-9296-5_12.
Pełny tekst źródłaCao, Yi, Yuehui Chen i Yaou Zhao. "Stochastic System Identification by Evolutionary Algorithms". W Bio-Inspired Computing and Applications, 247–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24553-4_34.
Pełny tekst źródłaBoutalis, Yiannis, Dimitrios Theodoridis, Theodore Kottas i Manolis A. Christodoulou. "Adaptive Estimation Algorithms of FCN Parameters". W System Identification and Adaptive Control, 215–49. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06364-5_9.
Pełny tekst źródłaWang, Wei. "Generalized Extended Stochastic Gradient Algorithm Implemented Parameter Identification for Complex Multivariable-Systems". W Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019), 663–73. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0474-7_62.
Pełny tekst źródłaBellizzi, S., i R. Bouc. "Identification of the Hysteresis Parameters of a Nonlinear Vehicle Suspension Under Random Excitation". W Nonlinear Stochastic Dynamic Engineering Systems, 467–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83334-2_34.
Pełny tekst źródłaCascone, Dario, Giacomo Navarra, Maria Oliva i Francesco Lo Iacono. "Influence of User-Defined Parameters Using Stochastic Subspace Identification (SSI)". W Lecture Notes in Mechanical Engineering, 1567–82. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41057-5_127.
Pełny tekst źródłaHarth, Tobias, Jürgen Lehn i Franz Gustav Kollmann. "Identification of Material Parameters for Inelastic Constitutive Models: Stochastic Simulation". W Deformation and Failure in Metallic Materials, 139–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-36564-8_6.
Pełny tekst źródłade la Higuera, Colin, i Franck Thollard. "Identification in the Limit with Probability One of Stochastic Deterministic Finite Automata". W Grammatical Inference: Algorithms and Applications, 141–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-45257-7_12.
Pełny tekst źródłaStreszczenia konferencji na temat "Stochastic algorithms parameters identification"
Chernyshov, Kirill R. "Extended stochastic approximation algorithms for systems parameters identification". W IEEE EUROCON 2009 (EUROCON). IEEE, 2009. http://dx.doi.org/10.1109/eurcon.2009.5167742.
Pełny tekst źródłaWang, Chunlin, Torodd Skjerve Nord i Guoyuan Li. "Automated Modal Parameters Identification During Ice-Structure Interactions". W ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/omae2022-81075.
Pełny tekst źródłaWade, S. "Comparison of stochastic and deterministic parameter identification algorithms for indirect vector control". W IEE Colloquium on Vector Control and Direct Torque Control of Induction Motors. IEE, 1995. http://dx.doi.org/10.1049/ic:19951109.
Pełny tekst źródłaHouili, Rabiaa, Mohamed Yacine Hammoudi, Abir Betka i Abdenacer Titaouine. "Stochastic optimization algorithms for parameter identification of three phase induction motors with experimental verification". W 2023 International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS). IEEE, 2023. http://dx.doi.org/10.1109/icaeccs56710.2023.10104526.
Pełny tekst źródłaWang, S. Q., Y. T. Zhang i Y. X. Feng. "Comparative Study of Output-Based Modal Identification Methods Using Measured Signals From an Offshore Platform". W ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/omae2010-20771.
Pełny tekst źródłaBook, Joel M., i Samuel F. Asokanthan. "Modal Characterization of MEMS Switches via Output Only and Input/Output Identification Methods". W ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48888.
Pełny tekst źródłaYang, Wenlong, Lei Li, Qiang Fu, Yao Teng, Shuqing Wang i Fushun Liu. "Identify Modal Parameters of a Real Offshore Platform From the Response Excited by Natural Ice Loading". W ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54821.
Pełny tekst źródłaYin, Hao, He Xu, Yuhan Zhao i Feng Sun. "Fault Diagnosis of Control Valve Based on Fusion of Deep Learning and Elastic Weight Consolidation". W BATH/ASME 2022 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/fpmc2022-89359.
Pełny tekst źródłaYu, Shi Miao, Youngmok Ko, Han Hu, Jun Seo i Amy M. Bilton. "Optimization and System Identification of a Variable Pico-Scale Hydro Turbine for Pressure Regulation". W ASME 2020 Power Conference collocated with the 2020 International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/power2020-16902.
Pełny tekst źródłaCarassale, Luigi, Michela Marrè-Brunenghi i Stefano Patrone. "Modal Identification of Dynamically Coupled Bladed Disks in Run-Up Tests". W ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-57251.
Pełny tekst źródłaRaporty organizacyjne na temat "Stochastic algorithms parameters identification"
Heeringa, Brent, i Tim Oates. Two Algorithms for Learning the Parameters of Stochastic Context-Free Grammars. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2001. http://dx.doi.org/10.21236/ada459920.
Pełny tekst źródłaKuropiatnyk, D. I. Actuality of the problem of parametric identification of a mathematical model. [б. в.], grudzień 2018. http://dx.doi.org/10.31812/123456789/2885.
Pełny tekst źródłaEngel, Bernard, Yael Edan, James Simon, Hanoch Pasternak i Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, lipiec 1996. http://dx.doi.org/10.32747/1996.7613033.bard.
Pełny tekst źródłaMiles, Gaines E., Yael Edan, F. Tom Turpin, Avshalom Grinstein, Thomas N. Jordan, Amots Hetzroni, Stephen C. Weller, Marvin M. Schreiber i Okan K. Ersoy. Expert Sensor for Site Specification Application of Agricultural Chemicals. United States Department of Agriculture, sierpień 1995. http://dx.doi.org/10.32747/1995.7570567.bard.
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