A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems

Xuhui Meng, George Em Karniadakis. A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems. J. Comput. Physics, 401, 2020. [doi]

@article{MengK20,
  title = {A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems},
  author = {Xuhui Meng and George Em Karniadakis},
  year = {2020},
  doi = {10.1016/j.jcp.2019.109020},
  url = {https://doi.org/10.1016/j.jcp.2019.109020},
  researchr = {https://researchr.org/publication/MengK20},
  cites = {0},
  citedby = {0},
  journal = {J. Comput. Physics},
  volume = {401},
}