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Filtros : "APRENDIZADO COMPUTACIONAL" "Financiado pela FAPESP." Removidos: " IFSC033" "HIDRAULICA E SANEAMENTO" "LAHR, FRANCISCO ANTONIO ROCCO" "Brasil" Limpar

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  • Artigo de periodico

    A simulator based on artificial neural networks and NSGA-II for prediction and optimization of the grinding process of superalloys with high performance grinding wheels (2020)

    Nametala, Ciniro Aparecido Leite; Souza, Adriel Magalhães; Pereira Junior, Benvindo Rodrigues; Silva, Eraldo Jannone da

    Fonte: CIRP Journal of Manufacturing Science and Technology. Unidade: EESC

    Assuntos: MOAGEM, ENGENHARIA MECÂNICA, APRENDIZADO COMPUTACIONAL

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    • ABNT

      NAMETALA, Ciniro Aparecido Leite et al. A simulator based on artificial neural networks and NSGA-II for prediction and optimization of the grinding process of superalloys with high performance grinding wheels. CIRP Journal of Manufacturing Science and Technology, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cirpj.2020.05.004. Acesso em: 29 jul. 2024.

    • APA

      Nametala, C. A. L., Souza, A. M., Pereira Junior, B. R., & Silva, E. J. da. (2020). A simulator based on artificial neural networks and NSGA-II for prediction and optimization of the grinding process of superalloys with high performance grinding wheels. CIRP Journal of Manufacturing Science and Technology. doi:10.1016/j.cirpj.2020.05.004

    • NLM

      Nametala CAL, Souza AM, Pereira Junior BR, Silva EJ da. A simulator based on artificial neural networks and NSGA-II for prediction and optimization of the grinding process of superalloys with high performance grinding wheels [Internet]. CIRP Journal of Manufacturing Science and Technology. 2020 ;[citado 2024 jul. 29 ] Available from: https://doi.org/10.1016/j.cirpj.2020.05.004

    • Vancouver

      Nametala CAL, Souza AM, Pereira Junior BR, Silva EJ da. A simulator based on artificial neural networks and NSGA-II for prediction and optimization of the grinding process of superalloys with high performance grinding wheels [Internet]. CIRP Journal of Manufacturing Science and Technology. 2020 ;[citado 2024 jul. 29 ] Available from: https://doi.org/10.1016/j.cirpj.2020.05.004

  • Artigo de periodico

    Intelligent islanding detection with grid topology adaptation and minimum non-detection zone (2020)

    Menezes, Thiago Souza; Fernandes, Ricardo A. S; Coury, Denis Vinicius

    Fonte: Electric Power Systems Research. Unidade: EESC

    Assuntos: SISTEMAS ELÉTRICOS, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, ENGENHARIA ELÉTRICA

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    • ABNT

      MENEZES, Thiago Souza e FERNANDES, Ricardo A. S e COURY, Denis Vinicius. Intelligent islanding detection with grid topology adaptation and minimum non-detection zone. Electric Power Systems Research, v. 187, p. 1-10, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.epsr.2020.106470. Acesso em: 29 jul. 2024.

    • APA

      Menezes, T. S., Fernandes, R. A. S., & Coury, D. V. (2020). Intelligent islanding detection with grid topology adaptation and minimum non-detection zone. Electric Power Systems Research, 187, 1-10. doi:10.1016/j.epsr.2020.106470

    • NLM

      Menezes TS, Fernandes RAS, Coury DV. Intelligent islanding detection with grid topology adaptation and minimum non-detection zone [Internet]. Electric Power Systems Research. 2020 ; 187 1-10.[citado 2024 jul. 29 ] Available from: https://doi.org/10.1016/j.epsr.2020.106470

    • Vancouver

      Menezes TS, Fernandes RAS, Coury DV. Intelligent islanding detection with grid topology adaptation and minimum non-detection zone [Internet]. Electric Power Systems Research. 2020 ; 187 1-10.[citado 2024 jul. 29 ] Available from: https://doi.org/10.1016/j.epsr.2020.106470
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