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

Ahmad Zubir, Nurul Shakila (2019) A novel method for classification of agarwood oil using radial basis function neural network / Nurul Shakila Ahmad Zubir. Masters thesis, Universiti Teknologi MARA (UiTM).

Abstract

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.

Metadata

Item Type: Thesis (Masters)
Creators:
Creators
Email / ID Num.
Ahmad Zubir, Nurul Shakila
2016846108
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Taib, Mohd Nasir
UNSPECIFIED
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Master of Science (Electrical Engineering) –EE750
Keywords: Agarwood oil, medicinal practices, aromatic oils
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/87877
Edit Item
Edit Item

Download

[thumbnail of 87877.pdf] Text
87877.pdf

Download (141kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

87877

Indexing

Statistic

Statistic details