On the Training Efficiency of Shallow Architectures for Physics Informed Neural Networks
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63759-9_39
Reference30 articles.
1. Apsley, D.D., Castro, I.P.: A limited-length-scale k-$$\varepsilon $$ model for the neutral and stably-stratified atmospheric boundary layer. Bound.-Layer Meteorol. 83, 75–98 (1997)
2. Bengio, Y., et al.: Learning deep architectures for AI. Found. Trends® Mach. Learn. 2(1), 1–127 (2009)
3. Blocken, B., Stathopoulos, T., Carmeliet, J.: CFD simulation of the atmospheric boundary layer: wall function problems. Atmos. Environ. 41(2), 238–252 (2007)
4. Cai, S., Wang, Z., Wang, S., Perdikaris, P., Karniadakis, G.E.: Physics-informed neural networks for heat transfer problems. J. Heat Transfer 143(6), 060801 (2021)
5. El Kasmi, A., Masson, C.: An extended k-$$\epsilon $$ model for turbulent flow through horizontal-axis wind turbines. J. Wind Eng. Ind. Aerodyn. 96(1), 103–122 (2008). https://doi.org/10.1016/j.jweia.2007.03.007
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