RBF KERNEL OPTIMIZATION METHOD WITH PARTICLE SWARM OPTIMIZATION ON SVM USING THE ANALYSIS OF INPUT DATA’S MOVEMENT
SVM (Support Vector Machine) with RBF (Radial Basis Function) kernel is a frequently used classification method because usually it provides an accurate results. The focus about most SVM optimization research is the optimization of the the input data, whereas the parameter of the kernel function (RBF...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Universitas Indonesia
2017-02-01
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| Series: | Jurnal Ilmu Komputer dan Informasi |
| Subjects: | |
| Online Access: | http://jiki.cs.ui.ac.id/index.php/jiki/article/view/410 |