no code implementations • 7 Oct 2023 • Zhiying Ma, Jie Hou, Wenhao Zhu, Yaxin Peng, Ying Li
It establishes a temporal iteration scheme based on physical model-driven neural networks which effectively combines deep neural networks (DNNs) with interpolation approximation of fractional derivatives.
1 code implementation • 7 Oct 2023 • Jie Hou, Zhiying Ma, Shihui Ying, Ying Li
However, we have discovered that neural network solvers based on L1 interpolation approximation are unable to fully exploit the benefits of neural networks, and the accuracy of these models is constrained to interpolation errors.
