Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6905804 | Applied Soft Computing | 2014 | 6 Pages |
Abstract
- This paper proposes a new approach for training support vector machines with a bone age determination system.
- The proposed approach is a combination of particle swarm optimization (PSO) and support vector machines (SVMs).
- The performance and accuracy of the proposed PSO-SVM algorithm are examined on a bone age data set.
- The results obtained by PSO-SVM show that PSO-SVM is more effective than the previous study based on conventional SVM.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Gür Emre Güraksın, Hüseyin Haklı, Harun UÄuz,