A novel method for classification of agarwood oil using radial basis function neural network / Nurul Shakila Ahmad Zubir

Recently, there has been an increasing number in classifying the quality of Agarwood oil. Several studies have been documented for Agarwood oil applications such as aromatic oils, perfumery ingredient and medicinal practices. Furthermore, the demand of Agarwood oil is very high especially in the Mid...

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Main Author:	Ahmad Zubir, Nurul Shakila
Format:	Thesis
Language:	English
Published:	2019
Online Access:	https://ir.uitm.edu.my/id/eprint/87877/1/87877.pdf
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id	my-uitm-ir.87877
record_format	uketd_dc
spelling	my-uitm-ir.878772024-04-18T08:26:28Z A novel method for classification of agarwood oil using radial basis function neural network / Nurul Shakila Ahmad Zubir 2019 Ahmad Zubir, Nurul Shakila Recently, there has been an increasing number in classifying the quality of Agarwood oil. Several studies have been documented for Agarwood oil applications such as aromatic oils, perfumery ingredient and medicinal practices. Furthermore, the demand of Agarwood oil is very high especially in the Middle East countries. Previously, Agarwood oil quality has been investigated based on tools or feed forward pattern classifier. 2019 Thesis https://ir.uitm.edu.my/id/eprint/87877/ https://ir.uitm.edu.my/id/eprint/87877/1/87877.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Taib, Mohd Nasir
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Taib, Mohd Nasir
description	Recently, there has been an increasing number in classifying the quality of Agarwood oil. Several studies have been documented for Agarwood oil applications such as aromatic oils, perfumery ingredient and medicinal practices. Furthermore, the demand of Agarwood oil is very high especially in the Middle East countries. Previously, Agarwood oil quality has been investigated based on tools or feed forward pattern classifier.
format	Thesis
qualification_level	Master's degree
author	Ahmad Zubir, Nurul Shakila
spellingShingle	Ahmad Zubir, Nurul Shakila A novel method for classification of agarwood oil using radial basis function neural network / Nurul Shakila Ahmad Zubir
author_facet	Ahmad Zubir, Nurul Shakila
author_sort	Ahmad Zubir, Nurul Shakila
title	A novel method for classification of agarwood oil using radial basis function neural network / Nurul Shakila Ahmad Zubir
title_short	A novel method for classification of agarwood oil using radial basis function neural network / Nurul Shakila Ahmad Zubir
title_full	A novel method for classification of agarwood oil using radial basis function neural network / Nurul Shakila Ahmad Zubir
title_fullStr	A novel method for classification of agarwood oil using radial basis function neural network / Nurul Shakila Ahmad Zubir
title_full_unstemmed	A novel method for classification of agarwood oil using radial basis function neural network / Nurul Shakila Ahmad Zubir
title_sort	novel method for classification of agarwood oil using radial basis function neural network / nurul shakila ahmad zubir
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/87877/1/87877.pdf
_version_	1804889794049736704

A novel method for classification of agarwood oil using radial basis function neural network / Nurul Shakila Ahmad Zubir

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