Application of artificial intelligence techniques in the optimization of single screw polymer extrusion (2022)
- Authors:
- USP affiliated authors: DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC ; MONACO, FRANCISCO JOSÉ - ICMC
- Unidade: ICMC
- Subjects: MINERAÇÃO DE DADOS; INTELIGÊNCIA ARTIFICIAL
- Keywords: polymer extrusion; single screw; multi-objective optimization
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Congreso de Métodos Numéricos en Ingeniería - CMN
-
ABNT
GASPAR-CUNHA, António et al. Application of artificial intelligence techniques in the optimization of single screw polymer extrusion. 2022, Anais.. Barcelona: SEMNI, 2022. Disponível em: https://congress.cimne.com/cmn2022/frontal/program.asp. Acesso em: 02 out. 2024. -
APA
Gaspar-Cunha, A., Delbem, A. C. B., Costa, P., & Monaco, F. J. (2022). Application of artificial intelligence techniques in the optimization of single screw polymer extrusion. In Proceedings. Barcelona: SEMNI. Recuperado de https://congress.cimne.com/cmn2022/frontal/program.asp -
NLM
Gaspar-Cunha A, Delbem ACB, Costa P, Monaco FJ. Application of artificial intelligence techniques in the optimization of single screw polymer extrusion [Internet]. Proceedings. 2022 ;[citado 2024 out. 02 ] Available from: https://congress.cimne.com/cmn2022/frontal/program.asp -
Vancouver
Gaspar-Cunha A, Delbem ACB, Costa P, Monaco FJ. Application of artificial intelligence techniques in the optimization of single screw polymer extrusion [Internet]. Proceedings. 2022 ;[citado 2024 out. 02 ] Available from: https://congress.cimne.com/cmn2022/frontal/program.asp - Caracterização do perfil de carga a partir de programas binários
- Characterization of runtime resource usage from analysis of binary executable programs
- Many-objectives optimization: a machine learning approach for reducing the number of objectives
- Evolutionary multi-objective optimization of extrusion barrier screws: data mining and decision making
- Genetic algorithm for the determination of linear viscoelastic relaxation spectrum from experimental data
- Reducing the number of objectives for many objectives optimization: empirical analysis of a machine learning approach
- Multi-objective optimization of single screw polymer extrusion based on artificial intelligence
- Caracterização do perfil de consumo de recursos de programas binários utilizando a técnica DAMICORE
- Regularization-free multicriteria optimization of polymer viscoelasticity model
- Artificial intelligence in single screw polymer extrusion: learning from computational data
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