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Inverse Problems in Science and Engineering Volume 13, 2005 - Issue 3
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Original Articles

Aerodynamic data modeling using support vector machines

Hui-Yuan Fana Department of Mechanical and Aerospace Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA
,
George S. Dulikravichb Department of Mechanical and Materials Engineering, Florida International University, Miami, FL 33174, USA
&
Zhen-Xue Hana Department of Mechanical and Aerospace Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA
Pages 261-278 | Received 10 Aug 2004, Accepted 01 Oct 2004, Published online: 31 Aug 2006

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R. Jha, F. Pettersson, G. S. Dulikravich, H. Saxen & N. Chakraborti. (2015) Evolutionary Design of Nickel-Based Superalloys Using Data-Driven Genetic Algorithms and Related Strategies. Materials and Manufacturing Processes 30:4, pages 488-510.
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Amvrossios C. Bagtzoglou, Justin M. Niedzialek, Sandrine A. Baun, Emmanouil N. Anagnostou & Fred L. Ogden. (2009) A physically-based radar calibration method for improved rainfall estimation: application to the Fort-Collins flash flood of 1997. Inverse Problems in Science and Engineering 17:1, pages 115-131.
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Articles from other publishers (18)

Jaimon Dennis Quadros, Chetna Nagpal, Sher Afghan Khan, Abdul Aabid & Muneer Baig. (2022) Investigation of suddenly expanded flows at subsonic Mach numbers using an artificial neural networks approach. PLOS ONE 17:10, pages e0276074.
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Xueyi Song, Lin Wang & Xianwu Luo. (2022) Airfoil optimization using a machine learning-based optimization algorithm. Journal of Physics: Conference Series 2217:1, pages 012009.
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Enshuo Jiang. (2022) UniformLIME: A Uniformly Perturbed Local Interpretable Model-Agnostic Explanations Approach for Aerodynamics. Journal of Physics: Conference Series 2171:1, pages 012025.
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Benyamin Ebrahimi & Fahimeh Barzamini. (2021) Aircraft System Identification Using Parametric Approaches and Intelligent Modeling. Aircraft System Identification Using Parametric Approaches and Intelligent Modeling.
Asif Afzal, Abdul Aabid, Ambareen Khan, Sher Afghan Khan, Upendra Rajak, Tikendra Nath Verma & Rahul Kumar. (2020) Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows. Aerospace Science and Technology 107, pages 106318.
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Seyed Amin Bagherzadeh. (2020) Nonlinear aeroelastic modeling of aircraft using support vector machine method. Aircraft Engineering and Aerospace Technology 92:3, pages 502-518.
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Gabriel Achour, Woong Je Sung, Olivia J. Pinon-Fischer & Dimitri N. Mavris. (2020) Development of a Conditional Generative Adversarial Network for Airfoil Shape Optimization. Development of a Conditional Generative Adversarial Network for Airfoil Shape Optimization.
Liwei Hu, Jun Zhang, Yu Xiang & Wenyong Wang. (2020) Neural Networks-Based Aerodynamic Data Modeling: A Comprehensive Review. IEEE Access 8, pages 90805-90823.
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Lavi Rizki Zuhal, Pramudita Satria Palar & Koji Shimoyama. (2019) A comparative study of multi-objective expected improvement for aerodynamic design. Aerospace Science and Technology 91, pages 548-560.
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Seyed Amin Bagherzadeh. (2018) Nonlinear aircraft system identification using artificial neural networks enhanced by empirical mode decomposition. Aerospace Science and Technology 75, pages 155-171.
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Raul Yondo, Esther Andrés & Eusebio Valero. (2018) A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses. Progress in Aerospace Sciences 96, pages 23-61.
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Huoyue Xiang, Yongle Li, Haili Liao & Cuijuan Li. (2016) An adaptive surrogate model based on support vector regression and its application to the optimization of railway wind barriers. Structural and Multidisciplinary Optimization 55:2, pages 701-713.
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S. Manso. (2016) Simulation and system identification of helicopter dynamics using support vector regression. The Aeronautical Journal 119:1222, pages 1541-1560.
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SA Bagherzadeh, Mehdi Sabzeparvar & M Karrari. (2014) Nonlinear aerodynamic model identification using empirical mode decomposition. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 229:9, pages 1588-1605.
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Yongliang Chen. (2012) Modeling of longitudinal unsteady aerodynamics at high angle-of-attack based on support vector machines. Modeling of longitudinal unsteady aerodynamics at high angle-of-attack based on support vector machines.
S. Ghosh, D. K. Pratihar, B. Maiti & P. K. Das. (2010) An evolutionary optimization of diffuser shapes based on CFD simulations. International Journal for Numerical Methods in Fluids 63:10, pages 1147-1166.
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Daniel Jaeggi, Geoff Parks, William Dawes & John Clarkson. (2008) Robust Multi-Fidelity Aerodynamic Design Optimization Using Surrogate Models. Robust Multi-Fidelity Aerodynamic Design Optimization Using Surrogate Models.
Mehmet Onder Efe, Marco Debiasi, Peng Yan, Hitay Ozbay & Mohammad Samimy. (2006) Support vector networks for prediction of floor pressures in shallow cavity flows. Support vector networks for prediction of floor pressures in shallow cavity flows.

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