Classification of Agarwood using ANN
An artifical neural network (ANN) has been modeled for the classification of Agarwood region. The target regions were from Melaka, Pagoh, Super Pagoh, Ulu Tembeling and Indonesia. The data analysis using Principal Component Analysis (PCA) was done to find significant input selection from 32 sensors...
Saved in:
Main Authors: | M. S., Najib, N. A., Mohd Ali, M. N., Mat Arip, M., Abd Jalil, M. N., Taib |
---|---|
Format: | Article |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/6889/1/Classification_of_Agarwood_using_ANN.pdf http://umpir.ump.edu.my/id/eprint/6889/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification of agarwood grades using ANN
by: M. S., Najib, et al.
Published: (2011) -
Classification of agarwood using ANN / Muhammad Sharfi Najib ...[et al.]
by: Najib, Muhammad Sharfi, et al.
Published: (2012) -
Classification for ammonia in water by specific concentration using artificial neural network (ANN)
by: Muhamad Faruqi, Zahari, et al. -
EEG Spectrogram Classification Employing ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013) -
Classification of agarwood types (malaccensis and crassna) between oil and smoke using E-nose with CBR classifier
by: Mujahid, Mohamad, et al.
Published: (2020)