Prediction of Moisture Content Removal from Sludge by Artificial Neural Network Modelling

This study predicted the moisture content removed from sludge samples which underwent oven-dry tests by means of neural artificial network modelling. Sludge management is a global predicament in which challenges in solving it include cost- saving, space usage-optimization, and environmentalism. Info...

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Main Author: Zhi Fu, Joidan Lau
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.21048 /
Published: Universiti Teknologi PETRONAS 2020
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access: http://utpedia.utp.edu.my/21048/1/Dissertation_JoidanLau_Final.pdf
http://utpedia.utp.edu.my/21048/
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spelling utp-utpedia.210482021-09-14T08:30:38Z http://utpedia.utp.edu.my/21048/ Prediction of Moisture Content Removal from Sludge by Artificial Neural Network Modelling Zhi Fu, Joidan Lau TA Engineering (General). Civil engineering (General) This study predicted the moisture content removed from sludge samples which underwent oven-dry tests by means of neural artificial network modelling. Sludge management is a global predicament in which challenges in solving it include cost- saving, space usage-optimization, and environmentalism. Information pertaining to drying sludge and removing its moisture content is pertinent as it determines sludge management quality as it determines the costs of management. Hence, a model predicting sludge moisture content could help provide more insight into dewatering sludge which is often overlooked, in contrast to techniques of dewatering sludge. There remains a dearth of research done in this regard. Hence this endeavor is worthwhile for the potential expansions of such work may make headway to more profitable discoveries. Universiti Teknologi PETRONAS 2020-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21048/1/Dissertation_JoidanLau_Final.pdf Zhi Fu, Joidan Lau (2020) Prediction of Moisture Content Removal from Sludge by Artificial Neural Network Modelling. Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Zhi Fu, Joidan Lau
Prediction of Moisture Content Removal from Sludge by Artificial Neural Network Modelling
description This study predicted the moisture content removed from sludge samples which underwent oven-dry tests by means of neural artificial network modelling. Sludge management is a global predicament in which challenges in solving it include cost- saving, space usage-optimization, and environmentalism. Information pertaining to drying sludge and removing its moisture content is pertinent as it determines sludge management quality as it determines the costs of management. Hence, a model predicting sludge moisture content could help provide more insight into dewatering sludge which is often overlooked, in contrast to techniques of dewatering sludge. There remains a dearth of research done in this regard. Hence this endeavor is worthwhile for the potential expansions of such work may make headway to more profitable discoveries.
format Final Year Project
author Zhi Fu, Joidan Lau
author_sort Zhi Fu, Joidan Lau
title Prediction of Moisture Content Removal from Sludge by Artificial Neural Network Modelling
title_short Prediction of Moisture Content Removal from Sludge by Artificial Neural Network Modelling
title_full Prediction of Moisture Content Removal from Sludge by Artificial Neural Network Modelling
title_fullStr Prediction of Moisture Content Removal from Sludge by Artificial Neural Network Modelling
title_full_unstemmed Prediction of Moisture Content Removal from Sludge by Artificial Neural Network Modelling
title_sort prediction of moisture content removal from sludge by artificial neural network modelling
publisher Universiti Teknologi PETRONAS
publishDate 2020
url http://utpedia.utp.edu.my/21048/1/Dissertation_JoidanLau_Final.pdf
http://utpedia.utp.edu.my/21048/
_version_ 1741195699949666304
score 11.62408

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