Recurrent neural network based approach for solving groundwater hydrology problems (2013)
Fonte: Artificial neural networks: architectures and applications. Unidades: EESC, HRAC
Assuntos: HIDROLOGIA, REDES NEURAIS
ABNT
SILVA, Ivan Nunes da e CAGNON, José Ângelo e SAGGIORO, Nilton José. Recurrent neural network based approach for solving groundwater hydrology problems. Artificial neural networks: architectures and applications. Tradução . Rijeka: InTech, 2013. . Disponível em: https://doi.org/10.5772/51598. Acesso em: 11 nov. 2024.APA
Silva, I. N. da, Cagnon, J. Â., & Saggioro, N. J. (2013). Recurrent neural network based approach for solving groundwater hydrology problems. In Artificial neural networks: architectures and applications. Rijeka: InTech. doi:10.5772/51598NLM
Silva IN da, Cagnon JÂ, Saggioro NJ. Recurrent neural network based approach for solving groundwater hydrology problems [Internet]. In: Artificial neural networks: architectures and applications. Rijeka: InTech; 2013. [citado 2024 nov. 11 ] Available from: https://doi.org/10.5772/51598Vancouver
Silva IN da, Cagnon JÂ, Saggioro NJ. Recurrent neural network based approach for solving groundwater hydrology problems [Internet]. In: Artificial neural networks: architectures and applications. Rijeka: InTech; 2013. [citado 2024 nov. 11 ] Available from: https://doi.org/10.5772/51598