Filtros : "EESC-SEL" "HRAC" Removido: "IME" Limpar


  • Source: Artificial neural networks: architectures and applications. Unidades: EESC, HRAC

    Subjects: HIDROLOGIA, REDES NEURAIS

    Acesso à fonteDOIHow to cite
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    • 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: 19 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:10.5772/51598
    • 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 2024 nov. 19 ] 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 2024 nov. 19 ] Available from: https://doi.org/10.5772/51598

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