01.1 - Aircraft Design and Integrated System (Basics and Theory)
AIRFOIL PRESSURE PREDICTION BASED ON PHYSICS-INFORMED DEEP LEARNING APPROACH
J.Z. Li¹, Y.J. Yang¹, Y.F. Zhang¹; ¹School of Aerospace Engineering, Tsinghua University, China
This paper proposes a neural network agent model construction method that utilizes transonic small perturbation models to assist transfer learning, providing new ideas for the field of physics-inspired machine learning.