A Study on ANN Performance Towards Three Significant Compounds of High Quality Agarwood Oil-Reference-Cited by-同舟云学术

A Study on ANN Performance Towards Three Significant Compounds of High Quality Agarwood Oil

Published:2022-05-12 Issue: Volume: Page:
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Container-title:2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)
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Author:

Mahabob Noratikah Zawani¹,Fawwaz Mohd Amidon Aqib¹,Ismail Nurlaila¹,Hazwa Mohd Huzir Siti Mariatul²,Mohd Yusoff Zakiah²,Taib Mohd Nasir³,Nizam Tajuddin Saiful⁴,Ali NorAzah Mohd⁵

Affiliation:

1. Universiti Teknologi MARA (UiTM), Shah Alam,School of Electrical Engineering, College of Engineering,Shah Alam,Selangor,Malaysia,40450

2. Universiti Teknologi MARA (UiTM), Cawangan Pasir Gudang,School of Electrical Engineering, College of Engineering,Pasir Gudang,Johor,Malaysia

3. Universiti Teknologi MARA (UiTM), Shah Alam,Malaysia Institute of Transport (MITRANS),Shah Alam,Selangor,Malaysia,40450

4. Universiti Malaysia Pahang,BioAromatic Research Centre of Excellence (BARCE),Gambang Pahang,Malaysia,26300

5. Forest Research Institute Malaysia,Natural Product Division,Kepong,Selangor,Malaysia,52109

Funder

Universiti Teknologi MARA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9781838/9781823/09782017.pdf?arnumber=9782017

Reference30 articles.

1. ANN Modeling for Agarwood Oil Significant Compounds for Oil Quality Discrimination;ismail;PhD dissertation,2014

2. Classification of agarwood (gaharu) by resin content;nor azah;Tropical Science,2013

3. A Review of Quality Assessment and Grading for Agarwood

4. Mimicking biology: applications of cognitive systems to electronic noses

5. Classification of Agarwood Oil Using an Electronic Nose

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2. Accurate Agarwood Oil Quality Determination: A Breakthrough With Artificial Neural Networks and the Levenberg- Marquardt Algorithm;IEEE Access;2024