Recurrent neural network based approach for solving groundwater hydrology problems (2013)
- Authors:
- USP affiliated authors: SILVA, IVAN NUNES DA - EESC ; SAGGIORO, NILTON JOSÉ - HRAC
- Unidades: EESC; HRAC
- DOI: 10.5772/51598
- Subjects: HIDROLOGIA; REDES NEURAIS
- Language: Inglês
- Imprenta:
- ISBN: 9789535109358
- Source:
- Título: Artificial neural networks: architectures and applications
- Volume/Número/Paginação/Ano: 256 p
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
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: 22 jan. 2026. -
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:10.5772/51598 -
NLM
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 2026 jan. 22 ] Available from: https://doi.org/10.5772/51598 -
Vancouver
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 2026 jan. 22 ] Available from: https://doi.org/10.5772/51598 - Harmônicos de referência observados por sistemas inteligentes na identificação de falhas elétricas em motores de indução
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Informações sobre o DOI: 10.5772/51598 (Fonte: oaDOI API)
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