Multi-objective evolutionary optimization of extreme gradient boosting regression models of the internal turning of PEEK tubes

Author:

Vieira Jéssica TitoORCID,Pereira Robson Bruno DutraORCID,Lauro Carlos Henrique,Brandão Lincoln Cardoso,Ferreira João Roberto

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference68 articles.

1. Optimization of machining parameters for product quality and productivity in turning process of aluminum;Abolghasem;Ingeniería y Universidad,2022

2. Reduction of internal turning surface roughness by using particle damping aided by airflow;Aguiar;International Journal of Advanced Manufacturing Technology,2020

3. Optimization of process parameters affecting cutting force, power consumption and surface roughness using taguchi-based gray relational analysis in turning Aisi 1040 steel;Akgün;Surface Review and Letters,2022

4. A scoring system with high-resolution computed tomography to predict drug-associated acute respiratory distress syndrome: development and internal validation;Anan;Scientific Reports,2019

5. Identification of dynamic properties of boring bar vibrations in a continuous boring operation;Andren;Mechanical Systems and Signal Processing,2004

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