References

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  2. Lagaris, I. E., Likas, A., Fotiadis, D. I. (1998). Artificial Neural Networks for Solving Ordinary and Partial Differential Equations. IEEE Transactions on Neural Networks, 9(5), 987–1000. https://doi.org/10.1109/72.712178
  3. Raissi, M., Perdikaris, P., Karniadakis, G. E. (2019). Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations. Journal of Computational Physics, 378, 686–707. https://doi.org/10.1016/j.jcp.2018.10.045
  4. Burkardt, J. (2013). Investigating Uncertain Parameters in the Burgers Equation. Mathematics Department, Ajou University, Suwon, Korea. https://people.sc.fsu.edu/~jburkardt/presentations/burgers_2013_ajou.pdf