A comparison of machine learning approaches in predicting viscosity for partially hydrolyzed polyacrylamide derivatives (2023)
- Authors:
- Autor USP: TOLEDO, CLÁUDIO FABIANO MOTTA - ICMC
- Unidade: ICMC
- DOI: 10.14295/vetor.v33i1.15157
- Subjects: APRENDIZADO COMPUTACIONAL; REGRESSÃO LINEAR; POLÍMEROS SINTÉTICOS
- Keywords: Partially Hydrolyzed Polyacrylamide; Viscosity
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Rio Grande
- Date published: 2023
- Source:
- ISSN: 0102-7352
- Volume/Número/Paginação/Ano: v. 33, n. 1, p. 2-12, 2023
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by-nc-nd
-
ABNT
SILVEIRA, Kelly Cristine Da et al. A comparison of machine learning approaches in predicting viscosity for partially hydrolyzed polyacrylamide derivatives. v. 33, n. 1, p. 2-12, 2023Tradução . . Disponível em: https://doi.org/10.14295/vetor.v33i1.15157. Acesso em: 04 ago. 2025. -
APA
Silveira, K. C. D., Siqueira, M. H. S., Gama, J. M. R., Gois, J. N., Toledo, C. F. M., & Silva Neto, A. J. (2023). A comparison of machine learning approaches in predicting viscosity for partially hydrolyzed polyacrylamide derivatives, 33( 1), 2-12. doi:10.14295/vetor.v33i1.15157 -
NLM
Silveira KCD, Siqueira MHS, Gama JMR, Gois JN, Toledo CFM, Silva Neto AJ. A comparison of machine learning approaches in predicting viscosity for partially hydrolyzed polyacrylamide derivatives [Internet]. 2023 ; 33( 1): 2-12.[citado 2025 ago. 04 ] Available from: https://doi.org/10.14295/vetor.v33i1.15157 -
Vancouver
Silveira KCD, Siqueira MHS, Gama JMR, Gois JN, Toledo CFM, Silva Neto AJ. A comparison of machine learning approaches in predicting viscosity for partially hydrolyzed polyacrylamide derivatives [Internet]. 2023 ; 33( 1): 2-12.[citado 2025 ago. 04 ] Available from: https://doi.org/10.14295/vetor.v33i1.15157 - Tabu search to solve the synchronized and integrated two-level lot sizing and scheduling problem
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Informações sobre o DOI: 10.14295/vetor.v33i1.15157 (Fonte: oaDOI API)
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