Learning Partial Differential Equations from Data Using Neural Networks

22 October 2019

Papers citing "Learning Partial Differential Equations from Data Using Neural Networks"

5 / 5 papers shown

Title
A Neural Network Ensemble Approach to System Identification Elisa Negrini G. Citti L. Capogna 44 2 0 15 Oct 2021
ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting Yu Huang James Li Min Shi H. Zhuang Xingquan Zhu Laurent Chérubin James H. VanZwieten Yufei Tang AI4CE PINN 45 6 0 12 Aug 2021
Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations Zhiming Zhang Yongming Liu 46 11 0 08 Jul 2021
System Identification Through Lipschitz Regularized Deep Neural Networks Elisa Negrini G. Citti L. Capogna 49 12 0 07 Sep 2020
DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm Hao Xu Haibin Chang Dongxiao Zhang AI4CE 65 89 0 21 Jan 2020