Prediction of drinking water quality using back-propagation neural network / Wan Radziah Wan Abdul Rahim

Water is very important in our daily life. Without safety water every living thing in this planet will die. People can survive 7 to 10 days without foods but can survive 1 to 3 days without water ("National Ag Safety Database", 2002). Human bodies consist of 70% of water. This statement...

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Main Author:	Wan Abdul Rahim, Wan Radziah
Format:	Thesis
Language:	English
Published:	2006
Subjects:	Electronic computers. Computer science
Online Access:	http://ir.uitm.edu.my/id/eprint/1009/ http://ir.uitm.edu.my/id/eprint/1009/1/TB_WAN%20RADZIAH%20WAN%20ABDUL%20RAHIM%20CS%2006_5%20P01.pdf

id	uitm-1009
recordtype	eprints
spelling	uitm-10092018-10-19T07:17:52Z http://ir.uitm.edu.my/id/eprint/1009/ Prediction of drinking water quality using back-propagation neural network / Wan Radziah Wan Abdul Rahim Wan Abdul Rahim, Wan Radziah Electronic computers. Computer science Water is very important in our daily life. Without safety water every living thing in this planet will die. People can survive 7 to 10 days without foods but can survive 1 to 3 days without water ("National Ag Safety Database", 2002). Human bodies consist of 70% of water. This statement proved that water is very important element in this planet to make sure every living thing can continue their life. Nowadays, people are concerned about water sources such as from fresh water, ground water and river for drink. Some of them are not safe and does not achieve standard of safe and healthy to drink and use. The purposed of this project is to solve this problem by predict the drinking water quality using Artificial Neural Network (ANN). It is focus on pH, manganese, iron and turbidity of water. A Back-propagation neural network is used in this project and it is fully develop using MATLAB. With the development of drinking water quality prediction, it provides the result either the water quality or not based on the trained water data. Within this result, the water company can improved the drinking water quality level to make sure the consumer get the healthy water. 2006 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/1009/1/TB_WAN%20RADZIAH%20WAN%20ABDUL%20RAHIM%20CS%2006_5%20P01.pdf Wan Abdul Rahim, Wan Radziah (2006) Prediction of drinking water quality using back-propagation neural network / Wan Radziah Wan Abdul Rahim. Degree thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Electronic computers. Computer science
spellingShingle	Electronic computers. Computer science Wan Abdul Rahim, Wan Radziah Prediction of drinking water quality using back-propagation neural network / Wan Radziah Wan Abdul Rahim
description	Water is very important in our daily life. Without safety water every living thing in this planet will die. People can survive 7 to 10 days without foods but can survive 1 to 3 days without water ("National Ag Safety Database", 2002). Human bodies consist of 70% of water. This statement proved that water is very important element in this planet to make sure every living thing can continue their life. Nowadays, people are concerned about water sources such as from fresh water, ground water and river for drink. Some of them are not safe and does not achieve standard of safe and healthy to drink and use. The purposed of this project is to solve this problem by predict the drinking water quality using Artificial Neural Network (ANN). It is focus on pH, manganese, iron and turbidity of water. A Back-propagation neural network is used in this project and it is fully develop using MATLAB. With the development of drinking water quality prediction, it provides the result either the water quality or not based on the trained water data. Within this result, the water company can improved the drinking water quality level to make sure the consumer get the healthy water.
format	Thesis
author	Wan Abdul Rahim, Wan Radziah
author_facet	Wan Abdul Rahim, Wan Radziah
author_sort	Wan Abdul Rahim, Wan Radziah
title	Prediction of drinking water quality using back-propagation neural network / Wan Radziah Wan Abdul Rahim
title_short	Prediction of drinking water quality using back-propagation neural network / Wan Radziah Wan Abdul Rahim
title_full	Prediction of drinking water quality using back-propagation neural network / Wan Radziah Wan Abdul Rahim
title_fullStr	Prediction of drinking water quality using back-propagation neural network / Wan Radziah Wan Abdul Rahim
title_full_unstemmed	Prediction of drinking water quality using back-propagation neural network / Wan Radziah Wan Abdul Rahim
title_sort	prediction of drinking water quality using back-propagation neural network / wan radziah wan abdul rahim
publishDate	2006
url	http://ir.uitm.edu.my/id/eprint/1009/ http://ir.uitm.edu.my/id/eprint/1009/1/TB_WAN%20RADZIAH%20WAN%20ABDUL%20RAHIM%20CS%2006_5%20P01.pdf
first_indexed	2023-09-18T22:45:19Z
last_indexed	2023-09-18T22:45:19Z
_version_	1777417185877032960

Prediction of drinking water quality using back-propagation neural network / Wan Radziah Wan Abdul Rahim

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