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Filtros : "MAPAS" "Indexado no Scopus" Limpar

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  • Artigo de periodico

    On the application of self-organizing neural networks in gas-liquid and gas-solid flow regime identification (2010)

    Barbosa, Paulo Roberto; Crivelaro, Kelen Cristina Oliveira; Seleghim Júnior, Paulo

    Source: Journal of Brazilian Society of Mechanical Sciences and Engineering. Unidade: EESC

    Subjects: REDES NEURAIS, MAPAS, ESCOAMENTO BIFÁSICO

    Acesso à fonteAcesso à fonteDOIHow to cite
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    • ABNT

      BARBOSA, Paulo Roberto e CRIVELARO, Kelen Cristina Oliveira e SELEGHIM JÚNIOR, Paulo. On the application of self-organizing neural networks in gas-liquid and gas-solid flow regime identification. Journal of Brazilian Society of Mechanical Sciences and Engineering, v. 32, n. Ja/Mar. 2010, p. 15-20, 2010Tradução . . Disponível em: https://doi.org/10.1590/s1678-58782010000100003. Acesso em: 10 set. 2024.

    • APA

      Barbosa, P. R., Crivelaro, K. C. O., & Seleghim Júnior, P. (2010). On the application of self-organizing neural networks in gas-liquid and gas-solid flow regime identification. Journal of Brazilian Society of Mechanical Sciences and Engineering, 32( Ja/Mar. 2010), 15-20. doi:10.1590/s1678-58782010000100003

    • NLM

      Barbosa PR, Crivelaro KCO, Seleghim Júnior P. On the application of self-organizing neural networks in gas-liquid and gas-solid flow regime identification [Internet]. Journal of Brazilian Society of Mechanical Sciences and Engineering. 2010 ; 32( Ja/Mar. 2010): 15-20.[citado 2024 set. 10 ] Available from: https://doi.org/10.1590/s1678-58782010000100003

    • Vancouver

      Barbosa PR, Crivelaro KCO, Seleghim Júnior P. On the application of self-organizing neural networks in gas-liquid and gas-solid flow regime identification [Internet]. Journal of Brazilian Society of Mechanical Sciences and Engineering. 2010 ; 32( Ja/Mar. 2010): 15-20.[citado 2024 set. 10 ] Available from: https://doi.org/10.1590/s1678-58782010000100003

  • Artigo de periodico

    A classification methodology for the risk of weed infestation using fuzzy logic (2008)

    Bressan, Glaucia Maria; Koenigkan, Luciano Vieira; Oliveira, Vilma Alves de; Cruvinel, Paulo Estevão; Karam, Décio

    Source: Weed Research. Unidade: EESC

    Subjects: LÓGICA FUZZY, GEOESTATÍSTICA, PLANTAS DANINHAS, MAPAS

    Acesso à fonteAcesso à fonteDOIHow to cite
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    • ABNT

      BRESSAN, Glaucia Maria et al. A classification methodology for the risk of weed infestation using fuzzy logic. Weed Research, v. 48, n. 5, p. 470-479, 2008Tradução . . Disponível em: https://doi.org/10.1111/j.1365-3180.2008.00647.x. Acesso em: 10 set. 2024.

    • APA

      Bressan, G. M., Koenigkan, L. V., Oliveira, V. A. de, Cruvinel, P. E., & Karam, D. (2008). A classification methodology for the risk of weed infestation using fuzzy logic. Weed Research, 48( 5), 470-479. doi:10.1111/j.1365-3180.2008.00647.x

    • NLM

      Bressan GM, Koenigkan LV, Oliveira VA de, Cruvinel PE, Karam D. A classification methodology for the risk of weed infestation using fuzzy logic [Internet]. Weed Research. 2008 ; 48( 5): 470-479.[citado 2024 set. 10 ] Available from: https://doi.org/10.1111/j.1365-3180.2008.00647.x

    • Vancouver

      Bressan GM, Koenigkan LV, Oliveira VA de, Cruvinel PE, Karam D. A classification methodology for the risk of weed infestation using fuzzy logic [Internet]. Weed Research. 2008 ; 48( 5): 470-479.[citado 2024 set. 10 ] Available from: https://doi.org/10.1111/j.1365-3180.2008.00647.x
  • 1

1 - 2 (2 records)

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