Artículos de revistas sobre el tema "Stochastic inverse modeling"
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Hestir, Kevin, Stephen J. Martel, Stacy Vail, Jane Long, Pete D'Onfro y William D. Rizer. "Inverse hydrologic modeling using stochastic growth algorithms". Water Resources Research 34, n.º 12 (diciembre de 1998): 3335–47. http://dx.doi.org/10.1029/98wr01549.
Texto completoHohenegger, Christel y M. Gregory Forest. "Direct and inverse modeling for stochastic passive microbead rheology". PAMM 7, n.º 1 (diciembre de 2007): 1110505–6. http://dx.doi.org/10.1002/pamm.200700640.
Texto completoPonski, Mariusz y Andrzej Sluzalec. "Modeling and Simulation of Stochastic Inverse Problems in Viscoplasticity". Transactions of the Indian Institute of Metals 72, n.º 10 (27 de junio de 2019): 2803–17. http://dx.doi.org/10.1007/s12666-019-01757-2.
Texto completoBoluh, Kateryna y Natalija Shchestyuk. "Simulating Stochastic Diffusion Processes and Processes with “Market” Time". Mohyla Mathematical Journal 3 (29 de enero de 2021): 25–30. http://dx.doi.org/10.18523/2617-70803202025-30.
Texto completoPreziosi, L., G. Teppati y N. Bellomo. "Modeling and solution of stochastic inverse problems in mathematical physics". Mathematical and Computer Modelling 16, n.º 5 (mayo de 1992): 37–51. http://dx.doi.org/10.1016/0895-7177(92)90118-5.
Texto completoAbou-Elyazied Abdallh, Ahmed y Luc Dupré. "Stochastic modeling error reduction using Bayesian approach coupled with an adaptive Kriging-based model". COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, n.º 3 (29 de abril de 2014): 856–67. http://dx.doi.org/10.1108/compel-10-2012-0230.
Texto completoLlopis-Albert, Carlos, Francisco Rubio y Francisco Valero. "Characterization and assessment of composite materials via inverse finite element modeling". Multidisciplinary Journal for Education, Social and Technological Sciences 6, n.º 2 (3 de octubre de 2019): 1. http://dx.doi.org/10.4995/muse.2019.12374.
Texto completoHan, S. L. y Takeshi Kinoshita. "Stochastic inverse modeling of nonlinear roll damping moment of a ship". Applied Ocean Research 39 (enero de 2013): 11–19. http://dx.doi.org/10.1016/j.apor.2012.09.003.
Texto completoLlopis-Albert, Carlos, Francisco Rubio, Francisco Valero, Hunchang Liao y Shouzhen Zeng. "Stochastic inverse finite element modeling for characterization of heterogeneous material properties". Materials Research Express 6, n.º 11 (23 de octubre de 2019): 115806. http://dx.doi.org/10.1088/2053-1591/ab4c72.
Texto completoLi, Liangping, Sanjay Srinivasan, Haiyan Zhou y J. Jaime Gómez-Hernández. "A local–global pattern matching method for subsurface stochastic inverse modeling". Environmental Modelling & Software 70 (agosto de 2015): 55–64. http://dx.doi.org/10.1016/j.envsoft.2015.04.008.
Texto completoHu, Zhi Gang, Yong Lin Zhang, Jian Ping Ye, Shao Yun Song y Li Ping Chen. "Numerical Modeling and Simulation of Random Road Surface Using IFFT Method". Advanced Materials Research 199-200 (febrero de 2011): 999–1004. http://dx.doi.org/10.4028/www.scientific.net/amr.199-200.999.
Texto completoBenth, F. E. y L. Vos. "Cross-Commodity Spot Price Modeling with Stochastic Volatility and Leverage For Energy Markets". Advances in Applied Probability 45, n.º 2 (junio de 2013): 545–71. http://dx.doi.org/10.1239/aap/1370870129.
Texto completoBenth, F. E. y L. Vos. "Cross-Commodity Spot Price Modeling with Stochastic Volatility and Leverage For Energy Markets". Advances in Applied Probability 45, n.º 02 (junio de 2013): 545–71. http://dx.doi.org/10.1017/s0001867800006431.
Texto completoButko, A. A., O. I. Rodkin y V. A. Pashinski. "Stochastic modeling of meteorological elements for solving environmental monitoring problems". Vesnik of Yanka Kupala State University of Grodno. Series 6. Engineering Science 12, n.º 1 (9 de septiembre de 2022): 51–64. http://dx.doi.org/10.52275/2223-5396-2022-12-1-51-64.
Texto completoAzevedo, Leonardo, Dario Grana y Leandro de Figueiredo. "Stochastic perturbation optimization for discrete-continuous inverse problems". GEOPHYSICS 85, n.º 5 (28 de julio de 2020): M73—M83. http://dx.doi.org/10.1190/geo2019-0520.1.
Texto completoFu, Jianlin y J. Jaime Gómez-Hernández. "A Blocking Markov Chain Monte Carlo Method for Inverse Stochastic Hydrogeological Modeling". Mathematical Geosciences 41, n.º 2 (12 de diciembre de 2008): 105–28. http://dx.doi.org/10.1007/s11004-008-9206-0.
Texto completoPace, Francesca, Alessandro Santilano y Alberto Godio. "A Review of Geophysical Modeling Based on Particle Swarm Optimization". Surveys in Geophysics 42, n.º 3 (13 de abril de 2021): 505–49. http://dx.doi.org/10.1007/s10712-021-09638-4.
Texto completoKlimczak, Konrad, Piotr Oprocha, Jan Kusiak, Danuta Szeliga, Paweł Morkisz, Paweł Przybyłowicz, Natalia Czyżewska y Maciej Pietrzyk. "Inverse Problem in Stochastic Approach to Modelling of Microstructural Parameters in Metallic Materials during Processing". Mathematical Problems in Engineering 2022 (12 de abril de 2022): 1–15. http://dx.doi.org/10.1155/2022/9690742.
Texto completoChiodo, Elio y Luigi Pio Di Noia. "Stochastic Extreme Wind Speed Modeling and Bayes Estimation under the Inverse Rayleigh Distribution". Applied Sciences 10, n.º 16 (14 de agosto de 2020): 5643. http://dx.doi.org/10.3390/app10165643.
Texto completoDagan, Gedeon. "Stochastic Modeling of Groundwater Flow by Unconditional and Conditional Probabilities: The Inverse Problem". Water Resources Research 21, n.º 1 (enero de 1985): 65–72. http://dx.doi.org/10.1029/wr021i001p00065.
Texto completoCherpeau, Nicolas, Guillaume Caumon, Jef Caers y Bruno Lévy. "Method for Stochastic Inverse Modeling of Fault Geometry and Connectivity Using Flow Data". Mathematical Geosciences 44, n.º 2 (26 de enero de 2012): 147–68. http://dx.doi.org/10.1007/s11004-012-9389-2.
Texto completoKlein, Olaf, Daniele Davino y Ciro Visone. "On forward and inverse uncertainty quantification for models involving hysteresis operators". Mathematical Modelling of Natural Phenomena 15 (2020): 53. http://dx.doi.org/10.1051/mmnp/2020009.
Texto completoMoura, Henrique Gomes, Edson Costa Junior, Arcanjo Lenzi y Vinicius Carvalho Rispoli. "On a Stochastic Regularization Technique for Ill-Conditioned Linear Systems". Open Engineering 9, n.º 1 (26 de febrero de 2019): 52–60. http://dx.doi.org/10.1515/eng-2019-0008.
Texto completoDell'Oca, A., A. Manzoni, M. Siena, N. G. Bona, L. Moghadasi, M. Miarelli, D. Renna y A. Guadagnini. "Stochastic inverse modeling of transient laboratory-scale three-dimensional two-phase core flooding scenarios". International Journal of Heat and Mass Transfer 202 (marzo de 2023): 123716. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2022.123716.
Texto completoKravtsov, S., D. Kondrashov y M. Ghil. "Multilevel Regression Modeling of Nonlinear Processes: Derivation and Applications to Climatic Variability". Journal of Climate 18, n.º 21 (1 de noviembre de 2005): 4404–24. http://dx.doi.org/10.1175/jcli3544.1.
Texto completoNi, C. F., Y. J. Huang, T. C. J. Yeh, J. J. Dong, J. S. Chen y M. H. Li. "Stochastic inversion of sequential hydraulic tests for transient and highly permeable unconfined aquifer systems". Hydrology and Earth System Sciences Discussions 10, n.º 12 (10 de diciembre de 2013): 14949–86. http://dx.doi.org/10.5194/hessd-10-14949-2013.
Texto completoCarletti, Margherita y Malay Banerjee. "A Backward Technique for Demographic Noise in Biological Ordinary Differential Equation Models". Mathematics 7, n.º 12 (9 de diciembre de 2019): 1204. http://dx.doi.org/10.3390/math7121204.
Texto completoNan, Jing, Zhonghua Jian, Chuanfeng Ning y Wei Dai. "A Lightweight Learning Method for Stochastic Configuration Networks Using Non-Inverse Solution". Electronics 11, n.º 2 (14 de enero de 2022): 262. http://dx.doi.org/10.3390/electronics11020262.
Texto completoLiu, Xiaoping, Zhenyu Wu, Dejun Cui, Bin Guo y Lijie Zhang. "A Modeling Method of Stochastic Parameters’ Inverse Gauss Process Considering Measurement Error under Accelerated Degradation Test". Mathematical Problems in Engineering 2019 (21 de mayo de 2019): 1–11. http://dx.doi.org/10.1155/2019/9752920.
Texto completoGlazunov, Andrey, Üllar Rannik, Victor Stepanenko, Vasily Lykosov, Mikko Auvinen, Timo Vesala y Ivan Mammarella. "Large-eddy simulation and stochastic modeling of Lagrangian particles for footprint determination in the stable boundary layer". Geoscientific Model Development 9, n.º 9 (31 de agosto de 2016): 2925–49. http://dx.doi.org/10.5194/gmd-9-2925-2016.
Texto completoNádai, László. "Modeling Photon Counting Experiments using Fuzzy Logic Controller". Journal of Advanced Computational Intelligence and Intelligent Informatics 6, n.º 2 (20 de junio de 2002): 72–78. http://dx.doi.org/10.20965/jaciii.2002.p0072.
Texto completoHagemann, Paul, Johannes Hertrich y Gabriele Steidl. "Stochastic Normalizing Flows for Inverse Problems: A Markov Chains Viewpoint". SIAM/ASA Journal on Uncertainty Quantification 10, n.º 3 (28 de septiembre de 2022): 1162–90. http://dx.doi.org/10.1137/21m1450604.
Texto completoKaulakys, B., M. Alaburda y J. Ruseckas. "Modeling of long-range memory processes with inverse cubic distributions by the nonlinear stochastic differential equations". Journal of Statistical Mechanics: Theory and Experiment 2016, n.º 5 (20 de mayo de 2016): 054035. http://dx.doi.org/10.1088/1742-5468/2016/05/054035.
Texto completoKaczka, David W., Christopher B. Massa y Brett A. Simon. "Reliability of Estimating Stochastic Lung Tissue Heterogeneity from Pulmonary Impedance Spectra: A Forward-Inverse Modeling Study". Annals of Biomedical Engineering 35, n.º 10 (9 de junio de 2007): 1722–38. http://dx.doi.org/10.1007/s10439-007-9339-1.
Texto completoKaczka, David W., Christopher B. Massa y Brett A. Simon. "Reliability of Estimating Stochastic Lung Tissue Heterogeneity from Pulmonary Impedance Spectra: A Forward-Inverse Modeling Study". Annals of Biomedical Engineering 35, n.º 10 (26 de junio de 2007): 1838. http://dx.doi.org/10.1007/s10439-007-9342-6.
Texto completoG�mez-Hern�ndez, J. J., H. J. W. M. Hendricks Franssen y A. Sahuquillo. "Stochastic conditional inverse modeling of subsurface mass transport: A brief review and the self-calibrating method". Stochastic Environmental Research and Risk Assessment (SERRA) 17, n.º 5 (1 de noviembre de 2003): 319–28. http://dx.doi.org/10.1007/s00477-003-0153-5.
Texto completoSun, Y., Z. Hou, M. Huang, F. Tian y L. Ruby Leung. "Inverse modeling of hydrologic parameters using surface flux and runoff observations in the Community Land Model". Hydrology and Earth System Sciences 17, n.º 12 (10 de diciembre de 2013): 4995–5011. http://dx.doi.org/10.5194/hess-17-4995-2013.
Texto completoSun, Y., Z. Hou, M. Huang, F. Tian y L. R. Leung. "Inverse modeling of hydrologic parameters using surface flux and runoff observations in the Community Land Model". Hydrology and Earth System Sciences Discussions 10, n.º 4 (23 de abril de 2013): 5077–119. http://dx.doi.org/10.5194/hessd-10-5077-2013.
Texto completoAl-Marzouki, Sanaa, Farrukh Jamal, Christophe Chesneau y Mohammed Elgarhy. "Half Logistic Inverse Lomax Distribution with Applications". Symmetry 13, n.º 2 (12 de febrero de 2021): 309. http://dx.doi.org/10.3390/sym13020309.
Texto completoZhang, Chao y Hong-Sen Yan. "Inverse control of multi-dimensional Taylor network for permanent magnet synchronous motor". COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, n.º 6 (6 de noviembre de 2017): 1676–89. http://dx.doi.org/10.1108/compel-12-2016-0565.
Texto completoPukl, Radomír, Tereza Sajdlová, Drahomír Novák y David Lehký. "Fracture-Mechanical Parameters for Modeling of Quasi-Brittle Materials and Structures". Advanced Materials Research 1106 (junio de 2015): 106–9. http://dx.doi.org/10.4028/www.scientific.net/amr.1106.106.
Texto completoThomas, Erin E., Daniel J. Vimont, Matthew Newman, Cécile Penland y Cristian Martínez-Villalobos. "The Role of Stochastic Forcing in Generating ENSO Diversity". Journal of Climate 31, n.º 22 (17 de octubre de 2018): 9125–50. http://dx.doi.org/10.1175/jcli-d-17-0582.1.
Texto completoShcherbina, Yu V., S. D. Asabashvili y A. M. Prokopenko. "SIMULATION OF ASYMMETRICALLY DISTRIBUTED PROCESSES". Key title: Zbìrnik naukovih pracʹ Odesʹkoï deržavnoï akademìï tehnìčnogo regulûvannâ ta âkostì -, n.º 1(16) (2020): 42–47. http://dx.doi.org/10.32684/2412-5288-2020-1-16-42-47.
Texto completoRussian, A., M. Riva, E. R. Russo, M. A. Chiaramonte y A. Guadagnini. "Stochastic inverse modeling and global sensitivity analysis to assist interpretation of drilling mud losses in fractured formations". Stochastic Environmental Research and Risk Assessment 33, n.º 10 (21 de septiembre de 2019): 1681–97. http://dx.doi.org/10.1007/s00477-019-01729-4.
Texto completoBai, Jie y Rishi Raj. "Inverse Problems in Stochastic Modeling of Mixed-Mode Power-Law and Diffusional Creep for Distributed Grain Size". Metallurgical and Materials Transactions A 41, n.º 2 (18 de diciembre de 2009): 308–17. http://dx.doi.org/10.1007/s11661-009-0120-y.
Texto completoRubin, Y., J. P. Lobo Ferreira, J. D. Rodrigues y G. Dagan. "Estimation of the hydraulic parameters of the Rio-Maior aquifer in Portugal by using stochastic inverse modeling". Journal of Hydrology 118, n.º 1-4 (octubre de 1990): 257–79. http://dx.doi.org/10.1016/0022-1694(90)90262-v.
Texto completoHan, S. L. y Takeshi Kinoshita. "Stochastic Inverse Identification of Nonlinear Roll Damping Moment of a Ship Moving at Nonzero-Forward Speeds". Mathematical Problems in Engineering 2012 (2012): 1–22. http://dx.doi.org/10.1155/2012/769385.
Texto completoJin, Bangti, Zehui Zhou y Jun Zou. "On the Saturation Phenomenon of Stochastic Gradient Descent for Linear Inverse Problems". SIAM/ASA Journal on Uncertainty Quantification 9, n.º 4 (enero de 2021): 1553–88. http://dx.doi.org/10.1137/20m1374456.
Texto completoStanislavsky, Aleksander A. y Aleksander Weron. "Subdiffusive search with home returns via stochastic resetting: a subordination scheme approach". Journal of Physics A: Mathematical and Theoretical 55, n.º 7 (28 de enero de 2022): 074004. http://dx.doi.org/10.1088/1751-8121/ac4a1c.
Texto completoKitanidis, Peter K. "Comment on “Stochastic Modeling of Groundwater Flow by Unconditional and Conditional Probabilities: The Inverse Problem” by Gedeon Dagan". Water Resources Research 22, n.º 6 (junio de 1986): 984–86. http://dx.doi.org/10.1029/wr022i006p00984.
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