Quadratic tuned kernel parameter in non-linear support vector machine (SVM) for agarwood oil compounds quality classification
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...
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science
2019
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| 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 |
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| author | Muhamad Addin Akmal, Mohd Raif Nurlaila, Ismail Nor Azah, Mohd Ali Mohd Hezri Fazalul, Rahiman Saiful Nizam, Tajuddin Mohd Nasir, Taib |
| author_facet | Muhamad Addin Akmal, Mohd Raif Nurlaila, Ismail Nor Azah, Mohd Ali Mohd Hezri Fazalul, Rahiman Saiful Nizam, Tajuddin Mohd Nasir, Taib |
| author_sort | Muhamad Addin Akmal, Mohd Raif |
| collection | UMP |
| description | 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 the output is the quality of the oil either high or low. The input and output data were processed by following tasks; i) data processing which covers normalization, randomization and data splitting into two parts in which training and testing database (ratio of 80%:20%), and ii) data analysis which covers SVM development by tuning quadratic kernel parameter. The training dataset was used to be train the SVM model and the testing dataset was used to test the developed SVM model. All the analytical works are performed via MATLAB software version R2013a. The result showed that, quadratic tuned kernel parameter in SVM model was successful since it passed all the performance criteria’s in which accuracy, precision, confusion matrix, sensitivity and specificity. The finding obtained in this paper is vital to the agarwood oil and its research area especially to the agarwood oil compounds classification system. |
| first_indexed | 2024-03-06T12:55:36Z |
| format | Article |
| id | UMPir33514 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:55:36Z |
| publishDate | 2019 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | UMPir335142022-03-14T01:33:23Z http://umpir.ump.edu.my/id/eprint/33514/ Quadratic tuned kernel parameter in non-linear support vector machine (SVM) for agarwood oil compounds quality classification Muhamad Addin Akmal, Mohd Raif Nurlaila, Ismail Nor Azah, Mohd Ali Mohd Hezri Fazalul, Rahiman Saiful Nizam, Tajuddin Mohd Nasir, Taib Q Science (General) QD Chemistry T Technology (General) TP Chemical technology 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 the output is the quality of the oil either high or low. The input and output data were processed by following tasks; i) data processing which covers normalization, randomization and data splitting into two parts in which training and testing database (ratio of 80%:20%), and ii) data analysis which covers SVM development by tuning quadratic kernel parameter. The training dataset was used to be train the SVM model and the testing dataset was used to test the developed SVM model. All the analytical works are performed via MATLAB software version R2013a. The result showed that, quadratic tuned kernel parameter in SVM model was successful since it passed all the performance criteria’s in which accuracy, precision, confusion matrix, sensitivity and specificity. The finding obtained in this paper is vital to the agarwood oil and its research area especially to the agarwood oil compounds classification system. Institute of Advanced Engineering and Science 2019 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/33514/1/Quadratic%20tuned%20kernel%20parameter%20in%20non-linear%20support%20vector%20machine%20%28svm%29.pdf Muhamad Addin Akmal, Mohd Raif and Nurlaila, Ismail and Nor Azah, Mohd Ali and Mohd Hezri Fazalul, Rahiman and Saiful Nizam, Tajuddin and Mohd Nasir, Taib (2019) Quadratic tuned kernel parameter in non-linear support vector machine (SVM) for agarwood oil compounds quality classification. Indonesian Journal of Electrical Engineering and Computer Science, 17 (3). pp. 1371-1376. ISSN 2502-4752. (Published) https://doi.org/10.11591/ijeecs.v17.i3.pp1371-1376 https://doi.org/10.11591/ijeecs.v17.i3.pp1371-1376 |
| spellingShingle | Q Science (General) QD Chemistry T Technology (General) TP Chemical technology Muhamad Addin Akmal, Mohd Raif Nurlaila, Ismail Nor Azah, Mohd Ali Mohd Hezri Fazalul, Rahiman Saiful Nizam, Tajuddin Mohd Nasir, Taib Quadratic tuned kernel parameter in non-linear support vector machine (SVM) for agarwood oil compounds quality classification |
| title | Quadratic tuned kernel parameter in non-linear support vector machine (SVM) for agarwood oil compounds quality classification |
| title_full | Quadratic tuned kernel parameter in non-linear support vector machine (SVM) for agarwood oil compounds quality classification |
| title_fullStr | Quadratic tuned kernel parameter in non-linear support vector machine (SVM) for agarwood oil compounds quality classification |
| title_full_unstemmed | Quadratic tuned kernel parameter in non-linear support vector machine (SVM) for agarwood oil compounds quality classification |
| title_short | Quadratic tuned kernel parameter in non-linear support vector machine (SVM) for agarwood oil compounds quality classification |
| title_sort | quadratic tuned kernel parameter in non linear support vector machine svm for agarwood oil compounds quality classification |
| topic | Q Science (General) QD Chemistry T Technology (General) TP Chemical technology |
| url | http://umpir.ump.edu.my/id/eprint/33514/1/Quadratic%20tuned%20kernel%20parameter%20in%20non-linear%20support%20vector%20machine%20%28svm%29.pdf |
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