Quadratic tuned kernel parameter in non-linear support vector machine (SVM) for agarwood oil compounds quality classification

• Main Authors: Muhamad Addin Akmal, Mohd Raif, Nurlaila, Ismail, Nor Azah, Mohd Ali, Mohd Hezri Fazalul, Rahiman, Saiful Nizam, Tajuddin, Mohd Nasir, Taib
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2019
• Subjects: Q Science (General); QD Chemistry; T Technology (General); TP Chemical technology
• Online Access: http://umpir.ump.edu.my/id/eprint/33514/1/Quadratic%20tuned%20kernel%20parameter%20in%20non-linear%20support%20vector%20machine%20%28svm%29.pdf; http://umpir.ump.edu.my/id/eprint/33514/; https://doi.org/10.11591/ijeecs.v17.i3.pp1371-1376; https://doi.org/10.11591/ijeecs.v17.i3.pp1371-1376
• Institution: Universiti Malaysia Pahang

This paper presents the analysis of agarwood oil compounds quality classification by tuning quadratic kernel parameter in Support Vector Machine (SVM). The experimental work involved of agarwood oil samples from low and high qualities. The input is abundances (%) of the agarwood oil compounds and th...