| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1134631 | Computers & Industrial Engineering | 2011 | 8 Pages |
Abstract
⺠We model cylindricity evaluation using support vector machine learning. ⺠Specific kernel functions are studied in this paper. ⺠We propose an algorithm based on this model. ⺠Computational experiment shows that the algorithm is robust.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Keun Lee, Sohyung Cho, Shihab Asfour,