Study on Response Surface Methodology with Artificial Neural Networks Application in Aerodynamic Optimization
Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.458
Response Surface Methodology is currently commonly used and solutes to engineering design aerodynamic optimization problem. Artificial Neural Networks is the familiar approximation methods. It is trained and tested using a relatively small number of high fidelity CFD flow simulations. The ANN approximation was found to save on the simulation computation time and improved the generalization capability of the ANN model by reducing the overtraining or memorization problem.
Response Surface Methodology, aerodynamic optimization, Artificial Neural Networks
W. Zheng, S. Ya-feng, J. Hai-jun and W. Hu, "Study on Response Surface Methodology with Artificial Neural Networks Application in Aerodynamic Optimization," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 620-626.