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
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;
Conference_Titel :
Control and System Graduate Research Colloquium (ICSGRC). 2010 IEEE
Conference_Location :
Shah Alam
Print_ISBN :
978-1-4244-7238-3
DOI :
10.1109/ICSGRC.2010.5562529
