Fonte: Applied Soft Computing Journal. Unidade: EESC
Assuntos: REDES NEURAIS, MÁQUINAS-FERRAMENTA, ENGENHARIA MECÂNICA
ABNT
LEITE, Wanderson de Oliveira et al. Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks. Applied Soft Computing Journal, v. 36, p. 114-124, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2015.07.014. Acesso em: 30 set. 2024.APA
Leite, W. de O., Rubio, J. C. C., Duduch, J. G., & Almeida, P. E. M. de. (2015). Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks. Applied Soft Computing Journal, 36, 114-124. doi:10.1016/j.asoc.2015.07.014NLM
Leite W de O, Rubio JCC, Duduch JG, Almeida PEM de. Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks [Internet]. Applied Soft Computing Journal. 2015 ; 36 114-124.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.asoc.2015.07.014Vancouver
Leite W de O, Rubio JCC, Duduch JG, Almeida PEM de. Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks [Internet]. Applied Soft Computing Journal. 2015 ; 36 114-124.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.asoc.2015.07.014