Bayesian network for hydrological model: an inference approach (2022)
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: ESALQ, EESC
Subjects: EVAPOTRANSPIRAÇÃO, BALANÇO HÍDRICO, INFERÊNCIA BAYESIANA, ENGENHARIA ELÉTRICA
ABNT
RIBEIRO, Vitor P. et al. Bayesian network for hydrological model: an inference approach. 2022, Anais.. Piscataway, NJ, USA: IEEE, 2022. Disponível em: https://doi.org/10.1109/IJCNN55064.2022.9892468. Acesso em: 16 out. 2024.APA
Ribeiro, V. P., Cunha, Â. S. M., Duarte, S. N., Padovani, C. R., Marques, P. A. A., Maciel, C. D., & Balestieri, J. A. P. (2022). Bayesian network for hydrological model: an inference approach. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/IJCNN55064.2022.9892468NLM
Ribeiro VP, Cunha ÂSM, Duarte SN, Padovani CR, Marques PAA, Maciel CD, Balestieri JAP. Bayesian network for hydrological model: an inference approach [Internet]. Proceedings. 2022 ;[citado 2024 out. 16 ] Available from: https://doi.org/10.1109/IJCNN55064.2022.9892468Vancouver
Ribeiro VP, Cunha ÂSM, Duarte SN, Padovani CR, Marques PAA, Maciel CD, Balestieri JAP. Bayesian network for hydrological model: an inference approach [Internet]. Proceedings. 2022 ;[citado 2024 out. 16 ] Available from: https://doi.org/10.1109/IJCNN55064.2022.9892468