no code implementations • 22 Dec 2023 • Liwei Hu, Wenyong Wang, Yu Xiang, Stefan Sommer
The aerodynamic coefficients of aircrafts are significantly impacted by its geometry, especially when the angle of attack (AoA) is large.
no code implementations • 23 Jun 2022 • Yu Xiang, Guangbo Zhang, Liwei Hu, Jun Zhang, Wenyong Wang
Geometrical shape of airfoils, together with the corresponding flight conditions, are crucial factors for aerodynamic performances prediction.
no code implementations • 15 Oct 2020 • Liwei Hu, Yu Xiang, Jun Zhan, Zifang Shi, Wenzheng Wang
Predicting high-speed data is more difficult than predicting low-speed data, owing to that the number of high-speed data is limited, i. e. the quality of the Burgers' dataset is not satisfactory.
no code implementations • 11 Aug 2020 • Liwei Hu, Wenyong Wang, Yu Xiang, Jun Zhang
Motivated by the problems of existing approaches and inspired by the success of the generative adversarial networks (GANs) in the field of computer vision, we prove an optimal discriminator theorem that the optimal discriminator of a GAN is a radial basis function neural network (RBFNN) while dealing with nonlinear sparse FFD regression and generation.