Artigos de revistas sobre o tema "Stochastic algorithms parameters identification"
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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 fonteAngelova, Maria, e Tania Pencheva. "Tuning Genetic Algorithm Parameters to Improve Convergence Time". International Journal of Chemical Engineering 2011 (2011): 1–7. http://dx.doi.org/10.1155/2011/646917.
Texto completo da fonteBHATT, RAJEN B., e M. GOPAL. "ON THE STRUCTURE AND INITIAL PARAMETER IDENTIFICATION OF GAUSSIAN RBF NETWORKS". International Journal of Neural Systems 14, n.º 06 (dezembro de 2004): 373–80. http://dx.doi.org/10.1142/s012906570400211x.
Texto completo da fonteЛомов, Андрей Александрович. "Parameter identification of discrete stochastic systems by the inverse iteration method". Вычислительные технологии, n.º 3 (15 de julho de 2020): 66–76. http://dx.doi.org/10.25743/ict.2020.25.3.008.
Texto completo da fonteWang e Sun. "Self-Tuning Distributed Fusion Filter for Multi-Sensor Networked Systems with Unknown Packet Receiving Rates, Noise Variances, and Model Parameters". Sensors 19, n.º 20 (13 de outubro de 2019): 4436. http://dx.doi.org/10.3390/s19204436.
Texto completo da fonteLi, Huan, Siqi Bu, Jiong-Ran Wen e Cheng-Wei Fei. "Synthetical Modal Parameters Identification Method of Damped Oscillation Signals in Power System". Applied Sciences 12, n.º 9 (6 de maio de 2022): 4668. http://dx.doi.org/10.3390/app12094668.
Texto completo da fonteZhou, Yulin, Xulei Jiang, Mingjin Zhang, Jinxiang Zhang, Hao Sun e Xin Li. "Modal parameters identification of bridge by improved stochastic subspace identification method with Grubbs criterion". Measurement and Control 54, n.º 3-4 (18 de fevereiro de 2021): 457–64. http://dx.doi.org/10.1177/0020294021993831.
Texto completo da fonteLegowo, Ari, Zahratu H. Mohamad e Hoon Cheol Park. "Mixed Unscented Kalman Filter and Differential Evolution for Parameter Identification". Applied Mechanics and Materials 256-259 (dezembro de 2012): 2347–53. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2347.
Texto completo da fonteBouzbida, Mohamed, Lassad Hassine e Abdelkader Chaari. "Robust Kernel Clustering Algorithm for Nonlinear System Identification". Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/2427309.
Texto completo da fonteAbu Hasan, Muhammad Danial Bin, Zair Asrar Bin Ahmad, Mohd Salman Leong e Lim Meng Hee. "Automated Harmonic Signal Removal Technique Using Stochastic Subspace-Based Image Feature Extraction". Journal of Imaging 6, n.º 3 (5 de março de 2020): 10. http://dx.doi.org/10.3390/jimaging6030010.
Texto completo da fonteWang, Peng, Ge Li, Yong Peng e Rusheng Ju. "Random Finite Set Based Parameter Estimation Algorithm for Identifying Stochastic Systems". Entropy 20, n.º 8 (31 de julho de 2018): 569. http://dx.doi.org/10.3390/e20080569.
Texto completo da fonteFadhil Shazmir, M., N. Ayuni Safari, M. Azhan Anuar, A. A.Mat Isa e Zamri A.R. "Operational Modal Analysis on a 3D Scaled Model of a 3-Storey Aluminium Structure". International Journal of Engineering & Technology 7, n.º 4.27 (30 de novembro de 2018): 78. http://dx.doi.org/10.14419/ijet.v7i4.27.22485.
Texto completo da fonteGoryainov, V. B., e W. M. Khing. "Comparison of Classical and Robust Estimates of Threshold Auto-regression Parameters". Mathematics and Mathematical Modeling, n.º 5 (6 de fevereiro de 2021): 33–44. http://dx.doi.org/10.24108/mathm.0520.0000224.
Texto completo da fonteZhao, Baigang, e Xianku Zhang. "An improved nonlinear innovation-based parameter identification algorithm for ship models". Journal of Navigation 74, n.º 3 (5 de março de 2021): 549–57. http://dx.doi.org/10.1017/s0373463321000102.
Texto completo da fonteWen, Peng, Inamullah Khan, Jie He e Qiaofeng Chen. "Application of Improved Combined Deterministic-Stochastic Subspace Algorithm in Bridge Modal Parameter Identification". Shock and Vibration 2021 (10 de março de 2021): 1–11. http://dx.doi.org/10.1155/2021/8855162.
Texto completo da fonteKhemani, Varun, Michael H. Azarian e Michael G. Pecht. "Efficient Identification of Jiles–Atherton Model Parameters Using Space-Filling Designs and Genetic Algorithms". Eng 3, n.º 3 (18 de agosto de 2022): 364–72. http://dx.doi.org/10.3390/eng3030026.
Texto completo da fonteLv, Li Xing, e Jing Chen. "Modified Stochastic Gradient Algorithm for Hammerstein Systems". Applied Mechanics and Materials 336-338 (julho de 2013): 2320–23. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2320.
Texto completo da fontePramod, B. R., e S. C. Bose. "System Identification Using ARMA Modeling and Neural Networks". Journal of Engineering for Industry 115, n.º 4 (1 de novembro de 1993): 487–91. http://dx.doi.org/10.1115/1.2901794.
Texto completo da fonteLiu, Bingwen, Zhiyong Ji, Tie Wang, Zhenghao Tang e Guoxing Li. "Failure Identification of Dump Truck Suspension Based on an Average Correlation Stochastic Subspace Identification Algorithm". Applied Sciences 8, n.º 10 (1 de outubro de 2018): 1795. http://dx.doi.org/10.3390/app8101795.
Texto completo da fonteMoufida, Moussaoui, Rehab Bekkouche Souhila, Kamouche Houda, Benayoun Fadila e Goudjil Kamel. "Identification of Soil Mechanical Parameters by Inverse Analysis Using Stochastic Methods". Selected Scientific Papers - Journal of Civil Engineering 17, n.º 1 (1 de dezembro de 2022): 1–12. http://dx.doi.org/10.2478/sspjce-2022-0018.
Texto completo da fonteZhang, Yanhui, e Wenyu Yang. "A comparative study of the stochastic simulation methods applied in structural health monitoring". Engineering Computations 31, n.º 7 (30 de setembro de 2014): 1484–513. http://dx.doi.org/10.1108/ec-07-2013-0185.
Texto completo da fonteGrigoriev, Vasiliy V., e Petr N. Vabishchevich. "Bayesian Estimation of Adsorption and Desorption Parameters for Pore Scale Transport". Mathematics 9, n.º 16 (18 de agosto de 2021): 1974. http://dx.doi.org/10.3390/math9161974.
Texto completo da fonteAngelova, Maria, Stoyan Tzonkov e Tania Pencheva. "Parameter Identification of a Fed-Batch Cultivation of S. Cerevisiae using Genetic Algorithms". Serdica Journal of Computing 4, n.º 1 (31 de março de 2010): 11–18. http://dx.doi.org/10.55630/sjc.2010.4.11-18.
Texto completo da fonteЧерникова, Оксана Сергеевна, Александр Сергеевич Толстиков e Юлия Сергеевна Четвертакова. "Application of adaptive identification methods for refining parameters of radiation pressure models". Вычислительные технологии, n.º 3 (15 de julho de 2020): 35–45. http://dx.doi.org/10.25743/ict.2020.25.3.005.
Texto completo da fonteChen, Jing, e Ruifeng Ding. "Two Identification Methods for Dual-Rate Sampled-Data Nonlinear Output-Error Systems". Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/329437.
Texto completo da fonteXia, Huafeng, e Feiyan Chen. "Filtering-Based Parameter Identification Methods for Multivariable Stochastic Systems". Mathematics 8, n.º 12 (21 de dezembro de 2020): 2254. http://dx.doi.org/10.3390/math8122254.
Texto completo da fonteLobaty, A. A., e V. Y. Stepanov. "PARAMETRIC IDENTIFICATION OF STOCHASTIC SYSTEM BY NON-GRADIENT RANDOM SEARCHING". Science & Technique 16, n.º 3 (26 de maio de 2017): 256–61. http://dx.doi.org/10.21122/2227-1031-2017-16-3-256-261.
Texto completo da fonteHartel, Udo, Alexander Ilin, Steffen Sonntag e Vesselin Michailov. "Nonlinear Optimization Methods for the Determination of Heat Source Model Parameters". Materials Science Forum 879 (novembro de 2016): 2008–13. http://dx.doi.org/10.4028/www.scientific.net/msf.879.2008.
Texto completo da fonteLiu, Yang, Qiang Zhang, Longjin Wang, Shun An, Yan He, Zhimin Fan e Fang Deng. "Identification of Multi-Innovation Stochastic Gradients with Maximum Likelihood Algorithm Based on Ship Maneuverability and Wave Peak Models". Journal of Marine Science and Engineering 12, n.º 1 (11 de janeiro de 2024): 142. http://dx.doi.org/10.3390/jmse12010142.
Texto completo da fonteXu, Bao-chang, Zhong-hua Lin, Ying-Dan Zhang e Yu-yue Xiao. "Extended Stochastic Gradient Identification Method for Hammerstein Model Based on Approximate Least Absolute Deviation". Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/9548428.
Texto completo da fonteWu, Haishan, e Yifeng Huang. "Modal Parameter Identification of Recursive Stochastic Subspace Method". Symmetry 15, n.º 6 (11 de junho de 2023): 1243. http://dx.doi.org/10.3390/sym15061243.
Texto completo da fonteRoeva, Olympia, e Dafina Zoteva. "Model Identification of E. coli Cultivation Process Applying Hybrid Crow Search Algorithm". Fermentation 10, n.º 1 (22 de dezembro de 2023): 12. http://dx.doi.org/10.3390/fermentation10010012.
Texto completo da fonteChub, E. G., e V. A. Pogorelov. "Identification algorithm for telecommunication systems with uncertain parameters of their vector of state stochastic model". Journal of Physics: Conference Series 2131, n.º 2 (1 de dezembro de 2021): 022090. http://dx.doi.org/10.1088/1742-6596/2131/2/022090.
Texto completo da fonteZou, Hong Fen. "Identification of Hammerstein Systems with Two-Segment Preload Nonlinearity Based on the Gradient Search". Applied Mechanics and Materials 651-653 (setembro de 2014): 2314–17. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.2314.
Texto completo da fonteAhmed, N. U., e S. M. Radaideh. "Identification of linear stochastic systems based on partial information". Journal of Applied Mathematics and Stochastic Analysis 8, n.º 3 (1 de janeiro de 1995): 249–60. http://dx.doi.org/10.1155/s1048953395000220.
Texto completo da fonteGel, Yulia R., e Vladimir N. Fomin. "Identification of an unstable ARMA equation". Mathematical Problems in Engineering 7, n.º 1 (2001): 97–112. http://dx.doi.org/10.1155/s1024123x01001557.
Texto completo da fonteRaffy, M., e C. Gontier. "Statistical asymptotic error on modal parameters in combined deterministic–stochastic identification algorithm". Mechanical Systems and Signal Processing 19, n.º 4 (julho de 2005): 714–35. http://dx.doi.org/10.1016/j.ymssp.2004.11.001.
Texto completo da fonteZhang, Qingsong, Yibo He, Meng Shu, Weizheng Zhang, Daojian Yang, Jinhua Song, Guanhua Li et al. "A Level-Based Learning Swarm Optimizer with Stochastic Fractal Search for Parameters Identification of Solar Photovoltaic Models". Mathematical Problems in Engineering 2023 (22 de fevereiro de 2023): 1–16. http://dx.doi.org/10.1155/2023/3397430.
Texto completo da fonteZhang, Jinfang, Guodou Huang e Li Zhang. "Generalized Correntropy Criterion-Based Performance Assessment for Non-Gaussian Stochastic Systems". Entropy 23, n.º 6 (17 de junho de 2021): 764. http://dx.doi.org/10.3390/e23060764.
Texto completo da fonteBianconi, Francesca, Georgios Panagiotis Salachoris, Francesco Clementi e Stefano Lenci. "A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests". Sensors 20, n.º 11 (10 de junho de 2020): 3315. http://dx.doi.org/10.3390/s20113315.
Texto completo da fonteZhigang, Wu, Wang Benli e Ma Xingrui. "Theory and algorithm of optimal control solution to dynamic system parameters identification (II) — Stochastic system parameters identification and application example". Applied Mathematics and Mechanics 20, n.º 3 (março de 1999): 241–46. http://dx.doi.org/10.1007/bf02463848.
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