Differentiation of Agarwood oil quality using Support Vector Machine (SVM)
Ths research presents an Agarwood oil gradng system using Support Vector Machine (SVM). Agarwood is grown in tropical parts of Asia (including Malaysia) and is a valuable international commodity. It is used primarily in fragrance and medicine. Data collected from 96 Agarwood oil samples of dfferent...
| Published in: | Journal of Engineering and Applied Sciences |
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| Main Author: | |
| Format: | Article |
| Language: | English |
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Medwell Journals
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029111994&doi=10.3923%2fjeasci.2017.3810.3812&partnerID=40&md5=b54d8e887d0785a9d966decadd5ce7b8 |
| Summary: | Ths research presents an Agarwood oil gradng system using Support Vector Machine (SVM). Agarwood is grown in tropical parts of Asia (including Malaysia) and is a valuable international commodity. It is used primarily in fragrance and medicine. Data collected from 96 Agarwood oil samples of dfferent qualities were used to train several SVMs with dfferent Kernel functions. Implementation of the project was done using MATLAB v2010a. It was found that nonlinear Kernels were able to produce 100% accuracy, outperforming the linear Kernel (87.5% accuracy). © Medwell Journals, 2017. |
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| ISSN: | 1816949X |
| DOI: | 10.3923/jeasci.2017.3810.3812 |