2 papers
cs.LG2025
Hard constraint learning approaches with trainable influence functions for evolutionary equations
Yushi Zhang, Shuai Su, Yong Wang +1
This paper develops a novel deep learning approach for solving evolutionary equations, which integrates sequential learning strategies with an enhanced hard constraint strategy fea…
math.NA2024
An extrapolation-driven network architecture for physics-informed deep learning
Yong Wang, Yanzhong Yao, Zhiming Gao
Current PINN implementations with sequential learning strategies often experience some weaknesses, such as the failure to reproduce the previous training results when using a singl…