Pattern classifier of chemical compounds in different qualities of agarwood oil parameter using scale conjugate gradient algorithm in MLP
This paper presents the modelling of agarwood oil (AO) significant compounds by different qualities using Scaled Conjugate Gradient (SCG) algorithm. This technique involved of data collection from Gas Chromatography-Mass Spectrometry (GC-MS) for compound extraction. The development of Multilayer per...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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IEEE
2017
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| Online Access: | http://umpir.ump.edu.my/id/eprint/28993/1/Pattern%20classifier%20of%20chemical%20compounds%20in%20different%20qualities%20.pdf http://umpir.ump.edu.my/id/eprint/28993/2/Pattern%20classifier%20of%20chemical%20compounds%20in%20different%20qualities_FULL.pdf |
| _version_ | 1825813450933141504 |
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| author | Nurul Shakila, Ahmad Zubir Mohamad Aqib Haqmi, Abas Ismail, N. A. Nor Azah, Mohd Ali Mohd Hezri Fazalul, Rahiman Ng, K. M. Mohd Nasir, Taib Saiful Nizam, Tajuddin |
| author_facet | Nurul Shakila, Ahmad Zubir Mohamad Aqib Haqmi, Abas Ismail, N. A. Nor Azah, Mohd Ali Mohd Hezri Fazalul, Rahiman Ng, K. M. Mohd Nasir, Taib Saiful Nizam, Tajuddin |
| author_sort | Nurul Shakila, Ahmad Zubir |
| collection | UMP |
| description | This paper presents the modelling of agarwood oil (AO) significant compounds by different qualities using Scaled Conjugate Gradient (SCG) algorithm. This technique involved of data collection from Gas Chromatography-Mass Spectrometry (GC-MS) for compound extraction. The development of Multilayer perceptron (MLP) is used to discriminate the qualities of AO chemical compounds to the high and low quality. The input and output data was transferred to the MATLAB version R2013a for extended analysis. The input is the abundances of significant compounds (%) and the output is the oil quality either high or low. This involved of identification, selection and optimization of a MLP as classifiers to identify and classify the agarwood oil quality. The result showed that MLP as pattern classifier is successful classify agarwood oil quality using SCG algorithm with 100% accuracy. This finding is important in agarwood oil area especially in grading system. |
| first_indexed | 2024-03-06T12:44:12Z |
| format | Conference or Workshop Item |
| id | UMPir28993 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:44:12Z |
| publishDate | 2017 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir289932022-08-19T08:28:15Z http://umpir.ump.edu.my/id/eprint/28993/ Pattern classifier of chemical compounds in different qualities of agarwood oil parameter using scale conjugate gradient algorithm in MLP Nurul Shakila, Ahmad Zubir Mohamad Aqib Haqmi, Abas Ismail, N. A. Nor Azah, Mohd Ali Mohd Hezri Fazalul, Rahiman Ng, K. M. Mohd Nasir, Taib Saiful Nizam, Tajuddin TP Chemical technology This paper presents the modelling of agarwood oil (AO) significant compounds by different qualities using Scaled Conjugate Gradient (SCG) algorithm. This technique involved of data collection from Gas Chromatography-Mass Spectrometry (GC-MS) for compound extraction. The development of Multilayer perceptron (MLP) is used to discriminate the qualities of AO chemical compounds to the high and low quality. The input and output data was transferred to the MATLAB version R2013a for extended analysis. The input is the abundances of significant compounds (%) and the output is the oil quality either high or low. This involved of identification, selection and optimization of a MLP as classifiers to identify and classify the agarwood oil quality. The result showed that MLP as pattern classifier is successful classify agarwood oil quality using SCG algorithm with 100% accuracy. This finding is important in agarwood oil area especially in grading system. IEEE 2017-10-10 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/28993/1/Pattern%20classifier%20of%20chemical%20compounds%20in%20different%20qualities%20.pdf pdf en http://umpir.ump.edu.my/id/eprint/28993/2/Pattern%20classifier%20of%20chemical%20compounds%20in%20different%20qualities_FULL.pdf Nurul Shakila, Ahmad Zubir and Mohamad Aqib Haqmi, Abas and Ismail, N. A. and Nor Azah, Mohd Ali and Mohd Hezri Fazalul, Rahiman and Ng, K. M. and Mohd Nasir, Taib and Saiful Nizam, Tajuddin (2017) Pattern classifier of chemical compounds in different qualities of agarwood oil parameter using scale conjugate gradient algorithm in MLP. In: 13th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2017 , 10 - 12 March 2017 , Batu Ferringhi Beach, Penang. pp. 18-22. (8064917). ISBN 9781509011841 (Published) https://doi.org/10.1109/CSPA.2017.8064917 |
| spellingShingle | TP Chemical technology Nurul Shakila, Ahmad Zubir Mohamad Aqib Haqmi, Abas Ismail, N. A. Nor Azah, Mohd Ali Mohd Hezri Fazalul, Rahiman Ng, K. M. Mohd Nasir, Taib Saiful Nizam, Tajuddin Pattern classifier of chemical compounds in different qualities of agarwood oil parameter using scale conjugate gradient algorithm in MLP |
| title | Pattern classifier of chemical compounds in different qualities of agarwood oil parameter using scale conjugate gradient algorithm in MLP |
| title_full | Pattern classifier of chemical compounds in different qualities of agarwood oil parameter using scale conjugate gradient algorithm in MLP |
| title_fullStr | Pattern classifier of chemical compounds in different qualities of agarwood oil parameter using scale conjugate gradient algorithm in MLP |
| title_full_unstemmed | Pattern classifier of chemical compounds in different qualities of agarwood oil parameter using scale conjugate gradient algorithm in MLP |
| title_short | Pattern classifier of chemical compounds in different qualities of agarwood oil parameter using scale conjugate gradient algorithm in MLP |
| title_sort | pattern classifier of chemical compounds in different qualities of agarwood oil parameter using scale conjugate gradient algorithm in mlp |
| topic | TP Chemical technology |
| url | http://umpir.ump.edu.my/id/eprint/28993/1/Pattern%20classifier%20of%20chemical%20compounds%20in%20different%20qualities%20.pdf http://umpir.ump.edu.my/id/eprint/28993/2/Pattern%20classifier%20of%20chemical%20compounds%20in%20different%20qualities_FULL.pdf |
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