CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method

DOI10.1016/J.CMA.2022.114909zbMath1507.65204arXiv2110.15832MaRDI QIDQ6381676

Jian Cheng Wong, My Ha Dao, Yew-Soon Ong, Chinchun Ooi, Pao-Hsiung Chiu

Publication date: 29 October 2021

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65M99)

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