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

    Subjects: HIDROLOGIA, REDES NEURAIS

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • 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: http://dx.doi.org/10.5772/51598. Acesso em: 03 out. 2022.
    • 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 2022 out. 03 ] Available from: http://dx.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 2022 out. 03 ] Available from: http://dx.doi.org/10.5772/51598

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