Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS 2022: Proceedings, Part II. Unidades: EP, IO, IEA, IB
Assuntos: REDES NEURAIS, EQUAÇÕES DIFERENCIAIS DA FÍSICA
ABNT
MATHIAS, Marlon Sproesser et al. Augmenting a physics-informed neural network for the 2D burgers equation by addition of solution data points. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21689-3_28. Acesso em: 11 nov. 2025. , 2022APA
Mathias, M. S., Almeida, W. P. de, Coelho, J. F., Freitas, L. P. de, Moreno, F. M., Netto, C. F. D., et al. (2022). Augmenting a physics-informed neural network for the 2D burgers equation by addition of solution data points. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21689-3_28NLM
Mathias MS, Almeida WP de, Coelho JF, Freitas LP de, Moreno FM, Netto CFD, Cozman FG, Reali Costa AH, Tannuri EA, Gomi ES, Dottori M. Augmenting a physics-informed neural network for the 2D burgers equation by addition of solution data points [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13654 388-401.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_28Vancouver
Mathias MS, Almeida WP de, Coelho JF, Freitas LP de, Moreno FM, Netto CFD, Cozman FG, Reali Costa AH, Tannuri EA, Gomi ES, Dottori M. Augmenting a physics-informed neural network for the 2D burgers equation by addition of solution data points [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13654 388-401.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_28

