Comparison of ANN performance towards agarwood oil compounds pre-processing based on principal component analysis (PCA) and stepwise regression selection method / Noratikah Zawani Mahabob … [et al.]
This paper presents the performance of Artificial Neural Network (ANN) application towards the agar wood oil quality classification. The works involved the uses of agarwood oil compounds based on two different feature selection techniques. The compounds were are selected based on using Principal Com...
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2021
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my.uitm.ir.520642021-10-07T09:27:08Z https://ir.uitm.edu.my/id/eprint/52064/ Comparison of ANN performance towards agarwood oil compounds pre-processing based on principal component analysis (PCA) and stepwise regression selection method / Noratikah Zawani Mahabob … [et al.] Mahabob, Noratikah Zawani Mohd Amidon, Aqib Fawwaz Mohd Yusoff, Zakiah Ismail, Nurlaila Tajuddin, Saiful Nizam Mohd Ali, NorAzah Taib, Mohd Nasir Aromatic compounds Production of electricity by direct energy conversion Applications of electric power This paper presents the performance of Artificial Neural Network (ANN) application towards the agar wood oil quality classification. The works involved the uses of agarwood oil compounds based on two different feature selection techniques. The compounds were are selected based on using Principal Component Analysis (PCA) and Stepwise Regression. The compounds identified by PCA (three compounds) were β-agarofuran, α-agarofuran, and 10-epi-ϒ-eudesmol while the compounds identified by stepwise regression (four compounds) were β-agarofuran, ϒ-Eudesmol, Longifolol, and Eudesmol. These compounds were fed into ANN separately as input features and the output was the quality of the oil either high and low. The Resilient Back propagation as classifier algorithm was used and 1 to 10 hidden neuron in the hidden layer were varied. The performance of ANN using three and four compounds was measured and compared using confusion matrix, mean square error (mse) value and number of epoch. The work was done using software application, Matlab R2017a by using ‘patternet’ network. The finding showed that the ANN using four compounds of agar wood oil as input feature obtained greater performance with good accuracy, lower mse value and lower number of epoch in one hidden neuron. Universiti Teknologi MARA 2021-10 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/52064/1/52064.pdf ID52064 Mahabob, Noratikah Zawani and Mohd Amidon, Aqib Fawwaz and Mohd Yusoff, Zakiah and Ismail, Nurlaila and Tajuddin, Saiful Nizam and Mohd Ali, NorAzah and Taib, Mohd Nasir (2021) Comparison of ANN performance towards agarwood oil compounds pre-processing based on principal component analysis (PCA) and stepwise regression selection method / Noratikah Zawani Mahabob … [et al.]. Journal of Electrical and Electronic Systems Research (JEESR), 19: 5. pp. 51-55. ISSN 1985-5389 https://jeesr.uitm.edu.my/ |
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Aromatic compounds Production of electricity by direct energy conversion Applications of electric power Mahabob, Noratikah Zawani Mohd Amidon, Aqib Fawwaz Mohd Yusoff, Zakiah Ismail, Nurlaila Tajuddin, Saiful Nizam Mohd Ali, NorAzah Taib, Mohd Nasir Comparison of ANN performance towards agarwood oil compounds pre-processing based on principal component analysis (PCA) and stepwise regression selection method / Noratikah Zawani Mahabob … [et al.] |
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This paper presents the performance of Artificial Neural Network (ANN) application towards the agar wood oil quality classification. The works involved the uses of agarwood oil compounds based on two different feature selection techniques. The compounds were are selected based on using Principal Component Analysis (PCA) and Stepwise Regression. The compounds identified by PCA (three compounds) were β-agarofuran, α-agarofuran, and 10-epi-ϒ-eudesmol while the compounds identified by stepwise regression (four compounds) were β-agarofuran, ϒ-Eudesmol, Longifolol, and Eudesmol. These compounds were fed into ANN separately as input features and the output was the quality of the oil either high and low. The Resilient Back propagation as classifier algorithm was used and 1 to 10 hidden neuron in the hidden layer were varied. The performance of ANN using three and four compounds was measured and compared using confusion matrix, mean square error (mse) value and number of epoch. The work was done using software application, Matlab R2017a by using ‘patternet’ network. The finding showed that the ANN using four compounds of agar wood oil as input feature obtained greater performance with good accuracy, lower mse value and lower number of epoch in one hidden neuron. |
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Article |
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Mahabob, Noratikah Zawani Mohd Amidon, Aqib Fawwaz Mohd Yusoff, Zakiah Ismail, Nurlaila Tajuddin, Saiful Nizam Mohd Ali, NorAzah Taib, Mohd Nasir |
author_facet |
Mahabob, Noratikah Zawani Mohd Amidon, Aqib Fawwaz Mohd Yusoff, Zakiah Ismail, Nurlaila Tajuddin, Saiful Nizam Mohd Ali, NorAzah Taib, Mohd Nasir |
author_sort |
Mahabob, Noratikah Zawani |
title |
Comparison of ANN performance towards agarwood oil compounds pre-processing based on principal component analysis (PCA) and stepwise regression selection method / Noratikah Zawani Mahabob … [et al.] |
title_short |
Comparison of ANN performance towards agarwood oil compounds pre-processing based on principal component analysis (PCA) and stepwise regression selection method / Noratikah Zawani Mahabob … [et al.] |
title_full |
Comparison of ANN performance towards agarwood oil compounds pre-processing based on principal component analysis (PCA) and stepwise regression selection method / Noratikah Zawani Mahabob … [et al.] |
title_fullStr |
Comparison of ANN performance towards agarwood oil compounds pre-processing based on principal component analysis (PCA) and stepwise regression selection method / Noratikah Zawani Mahabob … [et al.] |
title_full_unstemmed |
Comparison of ANN performance towards agarwood oil compounds pre-processing based on principal component analysis (PCA) and stepwise regression selection method / Noratikah Zawani Mahabob … [et al.] |
title_sort |
comparison of ann performance towards agarwood oil compounds pre-processing based on principal component analysis (pca) and stepwise regression selection method / noratikah zawani mahabob … [et al.] |
publisher |
Universiti Teknologi MARA |
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2021 |
url |
https://ir.uitm.edu.my/id/eprint/52064/1/52064.pdf https://ir.uitm.edu.my/id/eprint/52064/ https://jeesr.uitm.edu.my/ |
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1713202959892873216 |
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13.154949 |