Source: Journal of Brazilian Society of Mechanical Sciences and Engineering. Unidade: EESC
Subjects: REDES NEURAIS, MAPAS, ESCOAMENTO BIFÁSICO
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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: 16 nov. 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/s1678-58782010000100003NLM
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 nov. 16 ] Available from: https://doi.org/10.1590/s1678-58782010000100003Vancouver
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 nov. 16 ] Available from: https://doi.org/10.1590/s1678-58782010000100003
