Subjects: REDES NEURAIS, ESCOAMENTO BIFÁSICO, ENGENHARIA MECÂNICA
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ARAÚJO, D. C. et al. Neural networks approach for predictions of gas-liquid two-phase flow pattern during convective condensation in microscale channels. 2010, Anais.. Antalya, Turkey: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2010. Disponível em: https://repositorio.usp.br/directbitstream/75169822-ce7f-4f15-98c7-c75f8f0a9dee/PROD_25698_SYSNO_3125170.pdf. Acesso em: 12 jul. 2024.APA
Araújo, D. C., Arcanjo, A., Tibiriçá, C. B., Nascimento, F. J., & Ribatski, G. (2010). Neural networks approach for predictions of gas-liquid two-phase flow pattern during convective condensation in microscale channels. In . Antalya, Turkey: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/75169822-ce7f-4f15-98c7-c75f8f0a9dee/PROD_25698_SYSNO_3125170.pdfNLM
Araújo DC, Arcanjo A, Tibiriçá CB, Nascimento FJ, Ribatski G. Neural networks approach for predictions of gas-liquid two-phase flow pattern during convective condensation in microscale channels [Internet]. 2010 ;[citado 2024 jul. 12 ] Available from: https://repositorio.usp.br/directbitstream/75169822-ce7f-4f15-98c7-c75f8f0a9dee/PROD_25698_SYSNO_3125170.pdfVancouver
Araújo DC, Arcanjo A, Tibiriçá CB, Nascimento FJ, Ribatski G. Neural networks approach for predictions of gas-liquid two-phase flow pattern during convective condensation in microscale channels [Internet]. 2010 ;[citado 2024 jul. 12 ] Available from: https://repositorio.usp.br/directbitstream/75169822-ce7f-4f15-98c7-c75f8f0a9dee/PROD_25698_SYSNO_3125170.pdf