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

    Subjects: Hidrologia, Redes Neurais

    Online source accessDOIHow to cite
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    • ABNT

      SILVA, Ivan Nunes da; CAGNON, José Ângelo; SAGGIORO, Nilton José. Recurrent neural network based approach for solving groundwater hydrology problems. In: Artificial neural networks: architectures and applications[S.l: s.n.], 2013.Disponível em: DOI: 10.5772/51598.
    • 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. 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. Available from: http://dx.doi.org/10.5772/51598


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