Application of ANN in Agarwood Oil Grade Classification

Saiful Nizam, Tajuddin and Nurlaila, Ismail and Mohd Hezri, Fazalul Rahiman and Mohd Nasir, Taib and Nor Azah, Mohd Ali and Mailina, Jamil (2014) Application of ANN in Agarwood Oil Grade Classification. In: Proceedings of the IEEE 10th International Colloquium on Signal Processing & its Applications (CSPA 2014) , 7-9 March 2014 , Kuala Lumpur. pp. 216-220..

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This paper presents the application of Artificial Neural Network (ANN) in agarwood oil grade classification. The work involved of the extraction of chemical compounds by GC-MS, identification the significant chemical compounds using Z-score, generating the synthetic data using a dedicated formulae and application of ANN classification. The ANN classification is performed and its performance is measured using accuracy, sensitivity and specificity. The result showed that the performance of ANN classification for original GC-MS data is increasing when the data is added with synthetic data. This study showed that the ANN application in this study required a large number of sample size for it to have high accuracy in classification.

Item Type: Conference or Workshop Item (Speech)
Additional Information: ISBN: 978-1-4799-3090-6
Uncontrolled Keywords: Grade; Classification; Chemical compounds; Agarwood oil, ANN
Subjects: Q Science > QD Chemistry
Faculty/Division: Faculty of Industrial Sciences And Technology
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 09 Sep 2014 01:05
Last Modified: 01 May 2018 23:31
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