Graphical representation of cause-effect relationships among chemical process variables using a neural network approach (2010)
- Authors:
- Autor USP: PARK, SONG WON - EP
- Unidade: EP
- DOI: 10.1142/S146902681000277X
- Subjects: REDES NEURAIS; ANÁLISE DE DADOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Computational Intelligence and Applications
- ISSN: 1757-5885
- Volume/Número/Paginação/Ano: v. 9, n.1, p. 69-86, 2010
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ALMEIDA, Gustavo Matheus de et al. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. International Journal of Computational Intelligence and Applications, v. 9, n. 1, p. 69-86, 2010Tradução . . Disponível em: https://doi.org/10.1142/S146902681000277X. Acesso em: 05 mar. 2026. -
APA
Almeida, G. M. de, Cardoso, M., Rena, D. C., & Park, S. W. (2010). Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. International Journal of Computational Intelligence and Applications, 9( 1), 69-86. doi:10.1142/S146902681000277X -
NLM
Almeida GM de, Cardoso M, Rena DC, Park SW. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach [Internet]. International Journal of Computational Intelligence and Applications. 2010 ; 9( 1): 69-86.[citado 2026 mar. 05 ] Available from: https://doi.org/10.1142/S146902681000277X -
Vancouver
Almeida GM de, Cardoso M, Rena DC, Park SW. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach [Internet]. International Journal of Computational Intelligence and Applications. 2010 ; 9( 1): 69-86.[citado 2026 mar. 05 ] Available from: https://doi.org/10.1142/S146902681000277X - Análise do escoamento de gases em uma caldeira de recuperação química.parte I: mistura turbulenta de ar secundário e terciário
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Informações sobre o DOI: 10.1142/S146902681000277X (Fonte: oaDOI API)
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