Filtros : "Procedia Computer Science" "Fluminense Federal University" Limpar

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  • Fonte: Procedia Computer Science. Unidades: EACH, FEA

    Assunto: REDES NEURAIS

    Acesso à fonteDOIComo citar
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    • ABNT

      PINOCHET, Luis Hernan Contreras et al. Predicting the intention to use the investment aggregate functionality in the context of open banking using the artificial neural network approach. Procedia Computer Science, v. 221, p. 733-740, 2023Tradução . . Disponível em: http://dx.doi.org/10.1016/j.procs.2023.08.045. Acesso em: 11 nov. 2025.
    • APA

      Pinochet, L. H. C., Bastos, D. C. M., Pardim, V. I., Sun, V., & Santos, M. dos. (2023). Predicting the intention to use the investment aggregate functionality in the context of open banking using the artificial neural network approach. Procedia Computer Science, 221, 733-740. doi:10.1016/j.procs.2023.08.045
    • NLM

      Pinochet LHC, Bastos DCM, Pardim VI, Sun V, Santos M dos. Predicting the intention to use the investment aggregate functionality in the context of open banking using the artificial neural network approach [Internet]. Procedia Computer Science. 2023 ; 221 733-740.[citado 2025 nov. 11 ] Available from: http://dx.doi.org/10.1016/j.procs.2023.08.045
    • Vancouver

      Pinochet LHC, Bastos DCM, Pardim VI, Sun V, Santos M dos. Predicting the intention to use the investment aggregate functionality in the context of open banking using the artificial neural network approach [Internet]. Procedia Computer Science. 2023 ; 221 733-740.[citado 2025 nov. 11 ] Available from: http://dx.doi.org/10.1016/j.procs.2023.08.045

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