Staff View: New approach to predict fecal coliform removal for stormwater biofilter applications

New approach to predict fecal coliform removal for stormwater biofilter applications

Fecal coliform removal using stormwater biofilters is an important aspect of stormwater management. A model that can provide an accurate prediction of fecal coliform removal is essential. Therefore, feedforward backpropagation neural network (FBNN) and adaptive neuro-fuzzy inference system (ANFIS) m...

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Main Authors:	Lai, Sai Hin, Bu, Chun Hooi, Chin, Ren Jie, Goh, Xiang Ting, Teo, Fang Yenn
Format:	Article
Published:	International Islamic University Malaysia 2022
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.um.edu.my/43779/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134717493&doi=10.31436%2fiiumej.v23i2.2173&partnerID=40&md5=0f9248c719d6d05293001b6ebb47ea44
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spelling	my.um.eprints.437792024-11-14T06:27:13Z http://eprints.um.edu.my/43779/ New approach to predict fecal coliform removal for stormwater biofilter applications Lai, Sai Hin Bu, Chun Hooi Chin, Ren Jie Goh, Xiang Ting Teo, Fang Yenn T Technology (General) TA Engineering (General). Civil engineering (General) Fecal coliform removal using stormwater biofilters is an important aspect of stormwater management. A model that can provide an accurate prediction of fecal coliform removal is essential. Therefore, feedforward backpropagation neural network (FBNN) and adaptive neuro-fuzzy inference system (ANFIS) models were developed using a range of input features, namely grass type, the thickness of biofilter, and initial concentration of E. coli, while the estimated final concentration of E. coli was the output variable. The ANFIS model shows a better overall performance than the FBNN model, as it has a higher R2-value of 0.9874, lower MAE and RMSE values of 3.854 and 6.004 respectively, and a smaller average percentage error of 14.2. Hence, the proposed ANFIS model can be served as an advanced alternative to replace the need for laboratory work. © 2022 International Islamic University Malaysia 2022 Article PeerReviewed Lai, Sai Hin and Bu, Chun Hooi and Chin, Ren Jie and Goh, Xiang Ting and Teo, Fang Yenn (2022) New approach to predict fecal coliform removal for stormwater biofilter applications. IIUM Engineering Journal, 23 (2). 45 – 58. ISSN 1511-788X, DOI https://doi.org/10.31436/iiumej.v23i2.2173 <https://doi.org/10.31436/iiumej.v23i2.2173>. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134717493&doi=10.31436%2fiiumej.v23i2.2173&partnerID=40&md5=0f9248c719d6d05293001b6ebb47ea44 10.31436/iiumej.v23i2.2173
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	T Technology (General) TA Engineering (General). Civil engineering (General)
spellingShingle	T Technology (General) TA Engineering (General). Civil engineering (General) Lai, Sai Hin Bu, Chun Hooi Chin, Ren Jie Goh, Xiang Ting Teo, Fang Yenn New approach to predict fecal coliform removal for stormwater biofilter applications
description	Fecal coliform removal using stormwater biofilters is an important aspect of stormwater management. A model that can provide an accurate prediction of fecal coliform removal is essential. Therefore, feedforward backpropagation neural network (FBNN) and adaptive neuro-fuzzy inference system (ANFIS) models were developed using a range of input features, namely grass type, the thickness of biofilter, and initial concentration of E. coli, while the estimated final concentration of E. coli was the output variable. The ANFIS model shows a better overall performance than the FBNN model, as it has a higher R2-value of 0.9874, lower MAE and RMSE values of 3.854 and 6.004 respectively, and a smaller average percentage error of 14.2. Hence, the proposed ANFIS model can be served as an advanced alternative to replace the need for laboratory work. © 2022
format	Article
author	Lai, Sai Hin Bu, Chun Hooi Chin, Ren Jie Goh, Xiang Ting Teo, Fang Yenn
author_facet	Lai, Sai Hin Bu, Chun Hooi Chin, Ren Jie Goh, Xiang Ting Teo, Fang Yenn
author_sort	Lai, Sai Hin
title	New approach to predict fecal coliform removal for stormwater biofilter applications
title_short	New approach to predict fecal coliform removal for stormwater biofilter applications
title_full	New approach to predict fecal coliform removal for stormwater biofilter applications
title_fullStr	New approach to predict fecal coliform removal for stormwater biofilter applications
title_full_unstemmed	New approach to predict fecal coliform removal for stormwater biofilter applications
title_sort	new approach to predict fecal coliform removal for stormwater biofilter applications
publisher	International Islamic University Malaysia
publishDate	2022
url	http://eprints.um.edu.my/43779/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134717493&doi=10.31436%2fiiumej.v23i2.2173&partnerID=40&md5=0f9248c719d6d05293001b6ebb47ea44
_version_	1816130415862218752
score	13.223943

New approach to predict fecal coliform removal for stormwater biofilter applications

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