Neural networks catching up with finite differences in solving partial differential equations in higher dimensions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-020-04743-8.pdf
Reference57 articles.
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3. Anitescu C, Atroshchenko E, Alajlan N, Rabczuk T (2019) Artificial neural network methods for the solution of second order boundary value problems. Comput Mater Contin 59(1):345–359. https://doi.org/10.32604/cmc.2019.06641
4. Avrutskiy VI (2017) Backpropagation generalized for output derivatives. arXiv:1712.04185
5. Avrutskiy VI (2017) Enhancing approximation abilities of neural networks by training derivatives. arXiv:1712.04473
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