Literatura científica selecionada sobre o tema "Stochastic algorithms parameters identification"
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Artigos de revistas sobre o assunto "Stochastic algorithms parameters identification"
Zhang, Ce, Xiangxiang Meng e Yan Ji. "Parameter Estimation of Fractional Wiener Systems with the Application of Photovoltaic Cell Models". Mathematics 11, n.º 13 (30 de junho de 2023): 2945. http://dx.doi.org/10.3390/math11132945.
Texto completo da fonteJi, Yuejiang, e Lixin Lv. "Two Identification Methods for a Nonlinear Membership Function". Complexity 2021 (30 de abril de 2021): 1–7. http://dx.doi.org/10.1155/2021/5515888.
Texto completo da fonteHu, Huiyi, Xiao Yongsong e 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.
Texto completo da fonteOlama, Mohammed M., Kiran K. Jaladhi, Seddik M. Djouadi e 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.
Texto completo da fonteMa, Ping, e Lei Wang. "Partially Coupled Stochastic Gradient Estimation for Multivariate Equation-Error Systems". Mathematics 10, n.º 16 (16 de agosto de 2022): 2955. http://dx.doi.org/10.3390/math10162955.
Texto completo da fonteTsyganov, Andrey, e Yulia Tsyganova. "SVD-Based Identification of Parameters of the Discrete-Time Stochastic Systems Models with Multiplicative and Additive Noises Using Metaheuristic Optimization". Mathematics 11, n.º 20 (15 de outubro de 2023): 4292. http://dx.doi.org/10.3390/math11204292.
Texto completo da fonteKovacevic, Ivana, Branko Kovacevic e 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, n.º 1 (2008): 1–21. http://dx.doi.org/10.2298/fuee0801001k.
Texto completo da fonteMaitre, Julien, Sébastien Gaboury, Bruno Bouchard e 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, n.º 3 (julho de 2015): 44–67. http://dx.doi.org/10.4018/ijmstr.2015070103.
Texto completo da fonteHsu, Geesern, Andrew E. Yagle, Kenneth C. Ludema e Joel A. Levitt. "Modeling and Identification of Lubricated Polymer Friction Dynamics". Journal of Dynamic Systems, Measurement, and Control 122, n.º 1 (11 de outubro de 1996): 78–88. http://dx.doi.org/10.1115/1.482431.
Texto completo da fonteKrasheninnikov, Viktor R., Yuliya E. Kuvayskova, Olga E. Malenova e Aleksey Y. Subbotin. "PSEUDOGRADIENT ALGORITHM FOR IDENTIFICATION OF DOUBLY STOCHASTIC CYLINDRICAL IMAGE". Автоматизация процессов управления 2, n.º 64 (2021): 56–65. http://dx.doi.org/10.35752/1991-2927-2021-2-64-56-65.
Texto completo da fonteTeses / dissertações sobre o assunto "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.
Texto completo da fonteKoenig, 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.
Texto completo da fonteIn 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.
Texto completo da fonteDebonos, 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.
Texto completo da fonteAlamyal, 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.
Texto completo da fonteZhou, 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.
Texto completo da fonteZhou ., 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.
Texto completo da fontevan, Wyk Hans-Werner. "A Variational Approach to Estimating Uncertain Parameters in Elliptic Systems". Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/27635.
Texto completo da fontePh. 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.
Texto completo da fonteWong, king-fung, e 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.
Texto completo da fonteLivros sobre o assunto "Stochastic algorithms parameters identification"
System identification with quantized observations. Boston: Birkhäuser, 2010.
Encontre o texto completo da fonteR, 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.
Encontre o texto completo da fonteKamenskaya, Valentina, e Leonid Tomanov. The fractal-chaotic properties of cognitive processes: age. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1053569.
Texto completo da fonteFarooqi, Zarreen H. H. Identification of stochastic systems with random parameters with particular reference to the recirculating lymphocytes in the immune system. 1986.
Encontre o texto completo da fonteLarsson, 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.
Encontre o texto completo da fonteZhang, Ji-Feng, Le Yi Wang e G. George Yin. System Identification with Quantized Observations. Birkhäuser, 2010.
Encontre o texto completo da fonteLeondes, 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.
Encontre o texto completo da fonteAllen, Michael P., e Dominic J. Tildesley. Molecular dynamics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0003.
Texto completo da fonteCapítulos de livros sobre o assunto "Stochastic algorithms parameters identification"
Al-Ani, Tarik, e Yskander Hamam. "Parameters identification of a time-varying stochastic dynamic systems using Viterbi algorithm". In System Modelling and Optimization, 567–73. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-0-387-34897-1_69.
Texto completo da fonteBenveniste, Albert, Michel Métivier e Pierre Priouret. "Tracking Non-Stationary Parameters". In 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.
Texto completo da fonteGuo, L., H. F. Chen e J. F. Zhang. "Identification of Stochastic Time-Varying Parameters". In 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.
Texto completo da fonteCao, Yi, Yuehui Chen e Yaou Zhao. "Stochastic System Identification by Evolutionary Algorithms". In 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.
Texto completo da fonteBoutalis, Yiannis, Dimitrios Theodoridis, Theodore Kottas e Manolis A. Christodoulou. "Adaptive Estimation Algorithms of FCN Parameters". In System Identification and Adaptive Control, 215–49. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06364-5_9.
Texto completo da fonteWang, Wei. "Generalized Extended Stochastic Gradient Algorithm Implemented Parameter Identification for Complex Multivariable-Systems". In 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.
Texto completo da fonteBellizzi, S., e R. Bouc. "Identification of the Hysteresis Parameters of a Nonlinear Vehicle Suspension Under Random Excitation". In 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.
Texto completo da fonteCascone, Dario, Giacomo Navarra, Maria Oliva e Francesco Lo Iacono. "Influence of User-Defined Parameters Using Stochastic Subspace Identification (SSI)". In Lecture Notes in Mechanical Engineering, 1567–82. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41057-5_127.
Texto completo da fonteHarth, Tobias, Jürgen Lehn e Franz Gustav Kollmann. "Identification of Material Parameters for Inelastic Constitutive Models: Stochastic Simulation". In 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.
Texto completo da fontede la Higuera, Colin, e Franck Thollard. "Identification in the Limit with Probability One of Stochastic Deterministic Finite Automata". In 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.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Stochastic algorithms parameters identification"
Chernyshov, Kirill R. "Extended stochastic approximation algorithms for systems parameters identification". In IEEE EUROCON 2009 (EUROCON). IEEE, 2009. http://dx.doi.org/10.1109/eurcon.2009.5167742.
Texto completo da fonteWang, Chunlin, Torodd Skjerve Nord e Guoyuan Li. "Automated Modal Parameters Identification During Ice-Structure Interactions". In 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.
Texto completo da fonteWade, S. "Comparison of stochastic and deterministic parameter identification algorithms for indirect vector control". In IEE Colloquium on Vector Control and Direct Torque Control of Induction Motors. IEE, 1995. http://dx.doi.org/10.1049/ic:19951109.
Texto completo da fonteHouili, Rabiaa, Mohamed Yacine Hammoudi, Abir Betka e Abdenacer Titaouine. "Stochastic optimization algorithms for parameter identification of three phase induction motors with experimental verification". In 2023 International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS). IEEE, 2023. http://dx.doi.org/10.1109/icaeccs56710.2023.10104526.
Texto completo da fonteWang, S. Q., Y. T. Zhang e Y. X. Feng. "Comparative Study of Output-Based Modal Identification Methods Using Measured Signals From an Offshore Platform". In ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/omae2010-20771.
Texto completo da fonteBook, Joel M., e Samuel F. Asokanthan. "Modal Characterization of MEMS Switches via Output Only and Input/Output Identification Methods". In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48888.
Texto completo da fonteYang, Wenlong, Lei Li, Qiang Fu, Yao Teng, Shuqing Wang e Fushun Liu. "Identify Modal Parameters of a Real Offshore Platform From the Response Excited by Natural Ice Loading". In 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.
Texto completo da fonteYin, Hao, He Xu, Yuhan Zhao e Feng Sun. "Fault Diagnosis of Control Valve Based on Fusion of Deep Learning and Elastic Weight Consolidation". In BATH/ASME 2022 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/fpmc2022-89359.
Texto completo da fonteYu, Shi Miao, Youngmok Ko, Han Hu, Jun Seo e Amy M. Bilton. "Optimization and System Identification of a Variable Pico-Scale Hydro Turbine for Pressure Regulation". In 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.
Texto completo da fonteCarassale, Luigi, Michela Marrè-Brunenghi e Stefano Patrone. "Modal Identification of Dynamically Coupled Bladed Disks in Run-Up Tests". In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-57251.
Texto completo da fonteRelatórios de organizações sobre o assunto "Stochastic algorithms parameters identification"
Heeringa, Brent, e Tim Oates. Two Algorithms for Learning the Parameters of Stochastic Context-Free Grammars. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 2001. http://dx.doi.org/10.21236/ada459920.
Texto completo da fonteKuropiatnyk, D. I. Actuality of the problem of parametric identification of a mathematical model. [б. в.], dezembro de 2018. http://dx.doi.org/10.31812/123456789/2885.
Texto completo da fonteEngel, Bernard, Yael Edan, James Simon, Hanoch Pasternak e Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, julho de 1996. http://dx.doi.org/10.32747/1996.7613033.bard.
Texto completo da fonteMiles, Gaines E., Yael Edan, F. Tom Turpin, Avshalom Grinstein, Thomas N. Jordan, Amots Hetzroni, Stephen C. Weller, Marvin M. Schreiber e Okan K. Ersoy. Expert Sensor for Site Specification Application of Agricultural Chemicals. United States Department of Agriculture, agosto de 1995. http://dx.doi.org/10.32747/1995.7570567.bard.
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