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Filtros : "Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)" "Applied Soft Computing Journal" Removido: "tk" Limpar

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  • Artigo de periodico

    Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms (2020)

    Dufek, Amanda S; Augusto, Douglas A; Silva Dias, Pedro Leite da ; Barbosa, Helio J.C

    Source: Applied Soft Computing Journal. Unidade: IAG

    Subjects: PREVISÃO DO TEMPO, VELOCIDADE, VENTO

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      DUFEK, Amanda S et al. Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms. Applied Soft Computing Journal, v. 87, p. 1-12, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.105976. Acesso em: 26 ago. 2024.

    • APA

      Dufek, A. S., Augusto, D. A., Silva Dias, P. L. da, & Barbosa, H. J. C. (2020). Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms. Applied Soft Computing Journal, 87, 1-12. doi:10.1016/j.asoc.2019.105976

    • NLM

      Dufek AS, Augusto DA, Silva Dias PL da, Barbosa HJC. Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms [Internet]. Applied Soft Computing Journal. 2020 ; 87 1-12.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1016/j.asoc.2019.105976

    • Vancouver

      Dufek AS, Augusto DA, Silva Dias PL da, Barbosa HJC. Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms [Internet]. Applied Soft Computing Journal. 2020 ; 87 1-12.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1016/j.asoc.2019.105976

  • Artigo de periodico

    Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks (2015)

    Leite, Wanderson de Oliveira; Rubio, Juan Carlos Campos ; Duduch, Jaime Gilberto; Almeida, Paulo Eduardo Maciel de

    Source: Applied Soft Computing Journal. Unidade: EESC

    Subjects: REDES NEURAIS, MÁQUINAS-FERRAMENTA, ENGENHARIA MECÂNICA

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      LEITE, Wanderson de Oliveira et al. Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks. Applied Soft Computing Journal, v. 36, p. 114-124, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2015.07.014. Acesso em: 26 ago. 2024.

    • APA

      Leite, W. de O., Rubio, J. C. C., Duduch, J. G., & Almeida, P. E. M. de. (2015). Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks. Applied Soft Computing Journal, 36, 114-124. doi:10.1016/j.asoc.2015.07.014

    • NLM

      Leite W de O, Rubio JCC, Duduch JG, Almeida PEM de. Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks [Internet]. Applied Soft Computing Journal. 2015 ; 36 114-124.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1016/j.asoc.2015.07.014

    • Vancouver

      Leite W de O, Rubio JCC, Duduch JG, Almeida PEM de. Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks [Internet]. Applied Soft Computing Journal. 2015 ; 36 114-124.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1016/j.asoc.2015.07.014
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