Support vector machines classification based on particle swarm optimization for bone age determination

- 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.