Development Of Intelligent Classifier And Estimator For Tualang Honey Purity

Honey is a natural substance well-known as supplement for maintaining good health. It is also useful as an ingredient in medicine. However, the market price of pure honey is expensive, causing irresponsible parties to adulterate pure honey by adding various sugar substances. It is very challengin...

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Main Author: Subari, Norazian
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:http://eprints.usm.my/60840/1/24%20Pages%20from%2000001780725.pdf
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spelling my-usm-ep.608402024-07-16T02:16:52Z Development Of Intelligent Classifier And Estimator For Tualang Honey Purity 2014-08 Subari, Norazian TK1-9971 Electrical engineering. Electronics. Nuclear engineering Honey is a natural substance well-known as supplement for maintaining good health. It is also useful as an ingredient in medicine. However, the market price of pure honey is expensive, causing irresponsible parties to adulterate pure honey by adding various sugar substances. It is very challenging to come out with a suitable method to prove the presence of adulterants in honey products. Most previous studies involved close data observation from experts that is time-consuming. This research proposes the development of intelligent classifier to aid the task of differentiating pure honey from adulterated ones. Besides intelligent classifier, this research has also developed an intelligent estimator for the purpose of giving a percentage estimation of pure honey that exists in adulterated honey sample. The pure honey classifier and estimator are developed using Artificial Neural Network (ANN) approach: Ten types of pure honey from different brands and sugar compounds have been used to prepare various pure and adulterated honey (at different percentages of pure honey) samples. 2014-08 Thesis http://eprints.usm.my/60840/ http://eprints.usm.my/60840/1/24%20Pages%20from%2000001780725.pdf application/pdf en public masters Perpustakaan Hamzah Sendut Pusat Pengajian Kejuruteraan Elektrik & Elektronik
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic TK1-9971 Electrical engineering
Electronics
Nuclear engineering
spellingShingle TK1-9971 Electrical engineering
Electronics
Nuclear engineering
Subari, Norazian
Development Of Intelligent Classifier And Estimator For Tualang Honey Purity
description Honey is a natural substance well-known as supplement for maintaining good health. It is also useful as an ingredient in medicine. However, the market price of pure honey is expensive, causing irresponsible parties to adulterate pure honey by adding various sugar substances. It is very challenging to come out with a suitable method to prove the presence of adulterants in honey products. Most previous studies involved close data observation from experts that is time-consuming. This research proposes the development of intelligent classifier to aid the task of differentiating pure honey from adulterated ones. Besides intelligent classifier, this research has also developed an intelligent estimator for the purpose of giving a percentage estimation of pure honey that exists in adulterated honey sample. The pure honey classifier and estimator are developed using Artificial Neural Network (ANN) approach: Ten types of pure honey from different brands and sugar compounds have been used to prepare various pure and adulterated honey (at different percentages of pure honey) samples.
format Thesis
qualification_level Master's degree
author Subari, Norazian
author_facet Subari, Norazian
author_sort Subari, Norazian
title Development Of Intelligent Classifier And Estimator For Tualang Honey Purity
title_short Development Of Intelligent Classifier And Estimator For Tualang Honey Purity
title_full Development Of Intelligent Classifier And Estimator For Tualang Honey Purity
title_fullStr Development Of Intelligent Classifier And Estimator For Tualang Honey Purity
title_full_unstemmed Development Of Intelligent Classifier And Estimator For Tualang Honey Purity
title_sort development of intelligent classifier and estimator for tualang honey purity
granting_institution Perpustakaan Hamzah Sendut
granting_department Pusat Pengajian Kejuruteraan Elektrik & Elektronik
publishDate 2014
url http://eprints.usm.my/60840/1/24%20Pages%20from%2000001780725.pdf
_version_ 1804889006772584448