Subjects: APRENDIZADO COMPUTACIONAL, REGRESSÃO LINEAR, POLÍMEROS SINTÉTICOS
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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: 21 out. 2024.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.v33i1.15157NLM
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 2024 out. 21 ] Available from: https://doi.org/10.14295/vetor.v33i1.15157Vancouver
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 2024 out. 21 ] Available from: https://doi.org/10.14295/vetor.v33i1.15157