Статті в журналах з теми "Multi-fidelity models"
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Razi, Mani, Robert M. Kirby, and Akil Narayan. "Fast predictive multi-fidelity prediction with models of quantized fidelity levels." Journal of Computational Physics 376 (January 2019): 992–1008. http://dx.doi.org/10.1016/j.jcp.2018.10.025.
Повний текст джерелаPerdikaris, P., M. Raissi, A. Damianou, N. D. Lawrence, and G. E. Karniadakis. "Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 473, no. 2198 (February 2017): 20160751. http://dx.doi.org/10.1098/rspa.2016.0751.
Повний текст джерелаRumpfkeil, Markus P., Dean Bryson, and Phil Beran. "Multi-Fidelity Sparse Polynomial Chaos and Kriging Surrogate Models Applied to Analytical Benchmark Problems." Algorithms 15, no. 3 (March 21, 2022): 101. http://dx.doi.org/10.3390/a15030101.
Повний текст джерелаDiazDelaO, F. A., and S. Adhikari. "Bayesian assimilation of multi-fidelity finite element models." Computers & Structures 92-93 (February 2012): 206–15. http://dx.doi.org/10.1016/j.compstruc.2011.11.002.
Повний текст джерелаRumpfkeil, Markus P., and Philip Beran. "Multi-fidelity surrogate models for flutter database generation." Computers & Fluids 197 (January 2020): 104372. http://dx.doi.org/10.1016/j.compfluid.2019.104372.
Повний текст джерелаBonomo, Anthony L. "Multi-fidelity surrogate modeling for structural acoustics applications." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A287. http://dx.doi.org/10.1121/10.0018869.
Повний текст джерелаPeart, Tanya, Nicolas Aubin, Stefano Nava, John Cater, and Stuart Norris. "Selection of Existing Sail Designs for Multi-Fidelity Surrogate Models." Journal of Sailing Technology 7, no. 01 (January 5, 2022): 31–51. http://dx.doi.org/10.5957/jst/2022.7.2.31.
Повний текст джерелаPeart, Tanya, Nicolas Aubin, Stefano Nava, John Cater, and Stuart Norris. "Multi-Fidelity Surrogate Models for VPP Aerodynamic Input Data." Journal of Sailing Technology 6, no. 01 (February 9, 2021): 21–43. http://dx.doi.org/10.5957/jst/2021.6.1.21.
Повний текст джерелаFarcaș, Ionuț-Gabriel, Benjamin Peherstorfer, Tobias Neckel, Frank Jenko, and Hans-Joachim Bungartz. "Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification." Computer Methods in Applied Mechanics and Engineering 406 (March 2023): 115908. http://dx.doi.org/10.1016/j.cma.2023.115908.
Повний текст джерелаStyler, Breelyn, and Reid Simmons. "Plan-Time Multi-Model Switching for Motion Planning." Proceedings of the International Conference on Automated Planning and Scheduling 27 (June 5, 2017): 558–66. http://dx.doi.org/10.1609/icaps.v27i1.13858.
Повний текст джерелаYi, Jin, Yichi Shen, and Christine A. Shoemaker. "A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems." Structural and Multidisciplinary Optimization 62, no. 4 (May 17, 2020): 1787–807. http://dx.doi.org/10.1007/s00158-020-02575-7.
Повний текст джерелаSun, Qi, Tinghuan Chen, Siting Liu, Jianli Chen, Hao Yu, and Bei Yu. "Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design." ACM Transactions on Design Automation of Electronic Systems 27, no. 4 (July 31, 2022): 1–27. http://dx.doi.org/10.1145/3503540.
Повний текст джерелаYoo, Kwangkyu, Omar Bacarreza, and M. H. Ferri Aliabadi. "Multi-fidelity robust design optimisation for composite structures based on low-fidelity models using successive high-fidelity corrections." Composite Structures 259 (March 2021): 113477. http://dx.doi.org/10.1016/j.compstruct.2020.113477.
Повний текст джерелаSong, Xueguan, Liye Lv, Wei Sun, and Jie Zhang. "A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models." Structural and Multidisciplinary Optimization 60, no. 3 (April 1, 2019): 965–81. http://dx.doi.org/10.1007/s00158-019-02248-0.
Повний текст джерелаLiu, Bo, Slawomir Koziel, and Nazar Ali. "SADEA-II: A generalized method for efficient global optimization of antenna design." Journal of Computational Design and Engineering 4, no. 2 (November 20, 2016): 86–97. http://dx.doi.org/10.1016/j.jcde.2016.11.002.
Повний текст джерелаGalindo, José, Roberto Navarro, Francisco Moya, and Andrea Conchado. "Comprehensive Method for Obtaining Multi-Fidelity Surrogate Models for Design Space Approximation: Application to Multi-Dimensional Simulations of Condensation Due to Mixing Streams." Applied Sciences 13, no. 11 (May 23, 2023): 6361. http://dx.doi.org/10.3390/app13116361.
Повний текст джерелаYounis, Adel, and Zuomin Dong. "High-Fidelity Surrogate Based Multi-Objective Optimization Algorithm." Algorithms 15, no. 8 (August 7, 2022): 279. http://dx.doi.org/10.3390/a15080279.
Повний текст джерелаBaldan, Marco, Alexander Nikanorov, and Bernard Nacke. "A parallel multi-fidelity optimization approach in induction hardening." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, no. 1 (November 27, 2019): 133–43. http://dx.doi.org/10.1108/compel-05-2019-0221.
Повний текст джерелаGurbuz, Caglar, Martin Eser, Johannes Schaffner, and Steffen Marburg. "A multi-fidelity Gaussian process for efficient frequency sweeps in the acoustic design of a vehicle cabin." Journal of the Acoustical Society of America 153, no. 4 (April 2023): 2006–18. http://dx.doi.org/10.1121/10.0017725.
Повний текст джерелаLeguizamo, David Felipe, Hsin-Jung Yang, Xian Yeow Lee, and Soumik Sarkar. "Deep Reinforcement Learning for Robotic Control with Multi-Fidelity Models." IFAC-PapersOnLine 55, no. 37 (2022): 193–98. http://dx.doi.org/10.1016/j.ifacol.2022.11.183.
Повний текст джерелаPerron, Christian, Dushhyanth Rajaram, and Dimitri N. Mavris. "Multi-fidelity non-intrusive reduced-order modelling based on manifold alignment." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 477, no. 2253 (September 2021): 20210495. http://dx.doi.org/10.1098/rspa.2021.0495.
Повний текст джерелаLi, Yang, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, and Bin Cui. "MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 10 (May 18, 2021): 8491–500. http://dx.doi.org/10.1609/aaai.v35i10.17031.
Повний текст джерелаBonfiglio, Luca, Paris Perdikaris, and Stefano Brizzolara. "Multi-fidelity Bayesian Optimization of SWATH Hull Forms." Journal of Ship Research 64, no. 02 (June 1, 2020): 154–70. http://dx.doi.org/10.5957/jsr.2020.64.2.154.
Повний текст джерелаLeifsson, Leifur, and Slawomir Koziel. "Adaptive response prediction for aerodynamic shape optimization." Engineering Computations 34, no. 5 (July 3, 2017): 1485–500. http://dx.doi.org/10.1108/ec-02-2016-0070.
Повний текст джерелаKonrad, Julia, Ionuţ-Gabriel Farcaş, Benjamin Peherstorfer, Alessandro Di Siena, Frank Jenko, Tobias Neckel, and Hans-Joachim Bungartz. "Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis." Journal of Computational Physics 451 (February 2022): 110898. http://dx.doi.org/10.1016/j.jcp.2021.110898.
Повний текст джерелаBaldo, Leonardo, Pier Carlo Berri, Matteo D. L. Dalla Vedova, and Paolo Maggiore. "Experimental Validation of Multi-fidelity Models for Prognostics of Electromechanical Actuators." PHM Society European Conference 7, no. 1 (June 29, 2022): 32–42. http://dx.doi.org/10.36001/phme.2022.v7i1.3347.
Повний текст джерелаMorse, Llewellyn, Zahra Sharif Khodaei, and M. H. Aliabadi. "Multi-Fidelity Modeling-Based Structural Reliability Analysis with the Boundary Element Method." Journal of Multiscale Modelling 08, no. 03n04 (September 2017): 1740001. http://dx.doi.org/10.1142/s1756973717400017.
Повний текст джерелаAmrit, Anand, and Leifur Leifsson. "Applications of surrogate-assisted and multi-fidelity multi-objective optimization algorithms to simulation-based aerodynamic design." Engineering Computations 37, no. 2 (August 9, 2019): 430–57. http://dx.doi.org/10.1108/ec-12-2018-0553.
Повний текст джерелаLin, James T., Chun-Chih Chiu, Edward Huang, and Hung-Ming Chen. "A Multi-Fidelity Model Approach for Simultaneous Scheduling of Machines and Vehicles in Flexible Manufacturing Systems." Asia-Pacific Journal of Operational Research 35, no. 01 (February 2018): 1850005. http://dx.doi.org/10.1142/s0217595918500057.
Повний текст джерелаFu, Wenbo, Qiushi Li, Yongshun Song, Yaogen Shu, Zhongcan Ouyang, and Ming Li. "Theoretical analysis of RNA polymerase fidelity: a steady-state copolymerization approach." Communications in Theoretical Physics 74, no. 1 (December 10, 2021): 015601. http://dx.doi.org/10.1088/1572-9494/ac3993.
Повний текст джерелаKoziel, Slawomir, Yonatan Tesfahunegn, and Leifur Leifsson. "Variable-fidelity CFD models and co-Kriging for expedited multi-objective aerodynamic design optimization." Engineering Computations 33, no. 8 (November 7, 2016): 2320–38. http://dx.doi.org/10.1108/ec-09-2015-0277.
Повний текст джерелаEllison, M., F. A. DiazDelaO, N. Z. Ince, and M. Willetts. "Robust optimisation of computationally expensive models using adaptive multi-fidelity emulation." Applied Mathematical Modelling 100 (December 2021): 92–106. http://dx.doi.org/10.1016/j.apm.2021.07.020.
Повний текст джерелаSONG, Chao, Xudong YANG, and Wenping SONG. "Multi-infill strategy for kriging models used in variable fidelity optimization." Chinese Journal of Aeronautics 31, no. 3 (March 2018): 448–56. http://dx.doi.org/10.1016/j.cja.2018.01.011.
Повний текст джерелаPilania, G., J. E. Gubernatis, and T. Lookman. "Multi-fidelity machine learning models for accurate bandgap predictions of solids." Computational Materials Science 129 (March 2017): 156–63. http://dx.doi.org/10.1016/j.commatsci.2016.12.004.
Повний текст джерелаDu, Wenting, and Jin Su. "Uncertainty Quantification for Numerical Solutions of the Nonlinear Partial Differential Equations by Using the Multi-Fidelity Monte Carlo Method." Applied Sciences 12, no. 14 (July 12, 2022): 7045. http://dx.doi.org/10.3390/app12147045.
Повний текст джерелаXu, Jie, Si Zhang, Edward Huang, Chun-Hung Chen, Loo Hay Lee, and Nurcin Celik. "MO2TOS: Multi-Fidelity Optimization with Ordinal Transformation and Optimal Sampling." Asia-Pacific Journal of Operational Research 33, no. 03 (June 2016): 1650017. http://dx.doi.org/10.1142/s0217595916500172.
Повний текст джерелаAvramova, Maria, Agustin Abarca, Jason Hou, and Kostadin Ivanov. "Innovations in Multi-Physics Methods Development, Validation, and Uncertainty Quantification." Journal of Nuclear Engineering 2, no. 1 (March 7, 2021): 44–56. http://dx.doi.org/10.3390/jne2010005.
Повний текст джерелаKlimczyk, Witold Artur, and Zdobyslaw Jan Goraj. "Analysis and optimization of morphing wing aerodynamics." Aircraft Engineering and Aerospace Technology 91, no. 3 (March 4, 2019): 538–46. http://dx.doi.org/10.1108/aeat-12-2017-0289.
Повний текст джерелаDeng, Xinjian, Enying Li, and Hu Wang. "A Variable-Fidelity Multi-Objective Evolutionary Method for Polygonal Pin Fin Heat Sink Design." Sustainability 15, no. 2 (January 6, 2023): 1104. http://dx.doi.org/10.3390/su15021104.
Повний текст джерелаHe, Lei, Weiqi Qian, Tun Zhao, and Qing Wang. "Multi-Fidelity Aerodynamic Data Fusion with a Deep Neural Network Modeling Method." Entropy 22, no. 9 (September 12, 2020): 1022. http://dx.doi.org/10.3390/e22091022.
Повний текст джерелаYang, Chih-Hsuan, Balaji Sesha Sarath Pokuri, Xian Yeow Lee, Sangeeth Balakrishnan, Chinmay Hegde, Soumik Sarkar, and Baskar Ganapathysubramanian. "Multi-fidelity machine learning models for structure–property mapping of organic electronics." Computational Materials Science 213 (October 2022): 111599. http://dx.doi.org/10.1016/j.commatsci.2022.111599.
Повний текст джерелаZhang, Chi, Chaolin Song, and Abdollah Shafieezadeh. "Adaptive reliability analysis for multi-fidelity models using a collective learning strategy." Structural Safety 94 (January 2022): 102141. http://dx.doi.org/10.1016/j.strusafe.2021.102141.
Повний текст джерелаKoziel, Slawomir, and Stanislav Ogurtsov. "Multi-Objective Design of Antennas Using Variable-Fidelity Simulations and Surrogate Models." IEEE Transactions on Antennas and Propagation 61, no. 12 (December 2013): 5931–39. http://dx.doi.org/10.1109/tap.2013.2283599.
Повний текст джерелаThandayutham, Karthikeyan, and Abdus Samad. "Hydrostructural Optimization of a Marine Current Turbine Through Multi-fidelity Numerical Models." Arabian Journal for Science and Engineering 45, no. 2 (October 8, 2019): 935–52. http://dx.doi.org/10.1007/s13369-019-04185-y.
Повний текст джерелаYang, Yibo, and Paris Perdikaris. "Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems." Computational Mechanics 64, no. 2 (May 21, 2019): 417–34. http://dx.doi.org/10.1007/s00466-019-01718-y.
Повний текст джерелаEaton, Ammon N., Logan D. R. Beal, Samuel D. Thorpe, Casey B. Hubbell, John D. Hedengren, Roar Nybø, and Manuel Aghito. "Real time model identification using multi-fidelity models in managed pressure drilling." Computers & Chemical Engineering 97 (February 2017): 76–84. http://dx.doi.org/10.1016/j.compchemeng.2016.11.008.
Повний текст джерелаGuo, Qi, Jiutao Hang, Suian Wang, Wenzhi Hui, and Zonghong Xie. "Design optimization of variable stiffness composites by using multi-fidelity surrogate models." Structural and Multidisciplinary Optimization 63, no. 1 (July 23, 2020): 439–61. http://dx.doi.org/10.1007/s00158-020-02684-3.
Повний текст джерелаBabaee, H., P. Perdikaris, C. Chryssostomidis, and G. E. Karniadakis. "Multi-fidelity modelling of mixed convection based on experimental correlations and numerical simulations." Journal of Fluid Mechanics 809 (November 21, 2016): 895–917. http://dx.doi.org/10.1017/jfm.2016.718.
Повний текст джерелаQuattrocchi, Gaetano, Matteo D. L. Dalla Vedova, and Pier Carlo Berri. "Lumped parameters multi-fidelity digital twins for prognostics of electromechanical actuators." Journal of Physics: Conference Series 2526, no. 1 (June 1, 2023): 012076. http://dx.doi.org/10.1088/1742-6596/2526/1/012076.
Повний текст джерелаLiu, H., M. Hou, A. Li, and L. Xie. "AN AUTOMATIC EXTRACTION METHOD FOR THE PARAMETERS OF MULTI-LOD BIM MODELS FOR TYPICAL COMPONENTS OF WOODEN ARCHITECTURAL HERITAGE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W15 (August 23, 2019): 679–85. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w15-679-2019.
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