Articles | Volume 9, issue 1
https://doi.org/10.5194/ms-9-123-2018
https://doi.org/10.5194/ms-9-123-2018
Research article
 | 
27 Feb 2018
Research article |  | 27 Feb 2018

Tool selection method based on transfer learning for CNC machines

Jingtao Zhou, Han Zhao, Mingwei Wang, and Bingbo Shi

Viewed

Total article views: 4,208 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,476 654 78 4,208 76 73
  • HTML: 3,476
  • PDF: 654
  • XML: 78
  • Total: 4,208
  • BibTeX: 76
  • EndNote: 73
Views and downloads (calculated since 27 Feb 2018)
Cumulative views and downloads (calculated since 27 Feb 2018)

Viewed (geographical distribution)

Total article views: 3,844 (including HTML, PDF, and XML) Thereof 3,748 with geography defined and 96 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 07 Jun 2025
Download
Short summary
Due to the time-consuming and inefficient traditional tool selection method based on the human experience, we apply transfer learning to CNC tool selection issue in the field of industrial manufacturing. A unified expression of expert experience and process case is given in a more complex environment and then we improve the algorithm. The results show that the method we proposed can facilitate tool selection.
Share