Analysis of Predictive Capabilities of Adaptive Multilayer Models with Physics-Based Architecture for Duffing Oscillator
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-19032-2_54
Reference10 articles.
1. Frank, M., Drikakis, D., Charissis, V.: Machine-Learning Methods for Computational Science and Engineering. Computation 8, 15 (2020). https://doi.org/10.3390/computation8010015
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3. Lazovskaya, T., Malykhina, G., Tarkhov, D.: Physics-based neural network methods for solving parameterized singular perturbation problem. Computation 9, 9 (2021). https://doi.org/10.3390/computation9090097
4. Lazovskaya, T., Tarkhov, D.: Multilayer neural network models based on grid methods. IOP Conf. Ser. Mater. Sci. Eng. 158, 012061 (2016). https://doi.org/10.1088/1757-899X/158/1/012061
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