DocumentCode
1906724
Title
Classification of Agarwood region using ANN
Author
Najib, Muhammad Sharfi ; Ali, Nor Azah Mohd ; Arip, Mohd Nasir Mat ; Jalil, Abd Majid ; Taib, Mohd Nasir
Author_Institution
Fac. of Electr. & Electron., Univ. Malaysia Pahang, Kuantan, Malaysia
fYear
2010
fDate
22-22 June 2010
Firstpage
7
Lastpage
13
Abstract
This paper presents the classification of Agarwood region from Malaysia and Indonesia. The aim of this paper is to design model-based on artificial neural network (ANN). The ANN model was employed with portable E-nose to classify the Agarwood region. The experimental results demonstrate that the proposed method is effective and significant to the classification of Agarwood region.
Keywords
botany; electronic noses; neural nets; pattern classification; ANN; Agarwood region; Indonesia; Malaysia; artificial neural network; classification; portable e-nose; Artificial neural networks; Petroleum; Sensor arrays; Sensor phenomena and characterization; Sensor systems; Training; ANN; Agarwood; Classifications;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and System Graduate Research Colloquium (ICSGRC). 2010 IEEE
Conference_Location
Shah Alam
Print_ISBN
978-1-4244-7238-3
Type
conf
DOI
10.1109/ICSGRC.2010.5562529
Filename
5562529
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