Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data

Author:

Maslyaev Mikhail,Hvatov Alexander,Kalyuzhnaya Anna

Publisher

Springer International Publishing

Reference12 articles.

1. Berg, J., Nyström, K.: Neural network augmented inverse problems for PDEs (2018). https://arxiv.org/abs/1712.09685

2. Chang, H., Zhang, D.: Machine learning subsurface flow equations from data. Comput. Geosci. 23(5), 895–910 (2019). https://doi.org/10.1007/s10596-019-09847-2

3. Knowles, I., Le, T., Yan, A.: On the recovery of multiple flow parameters from transient head data. J. Comput. Appl. Math. 169(1), 1–15 (2004)

4. Long, Z., Lu, Y., Ma, X., Dong, B.: PDE-net: Learning PDEs from data (2017). https://arxiv.org/abs/1710.09668

5. Lecture Notes in Computer Science;M Maslyaev,2019

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