Modeling of ANN to determine optimum adsorption capacity for removal of pollutants in wastewater

The rise in wastewater as a source of pollution rank equal to climate change as the most urgent environmental issues currently. The rapidly growing industrialization and urbanization, improper sanitary disposal and household wastewater has contributed to this pollution. Such concerns pose potential...

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Main Authors:	Olanrewaju, Rashidah Funke, Rehab, Mariam, Ahmed, Abdulkadir Adekunle
Format:	Conference or Workshop Item
Language:	English English
Published:	10.1109/ICSIMA.2017.8311989 2018
Subjects:	TD Environmental technology. Sanitary engineering TD895 Industrial sanitation. Industrial wastes
Online Access:	http://irep.iium.edu.my/61395/ http://irep.iium.edu.my/61395/ http://irep.iium.edu.my/61395/ http://irep.iium.edu.my/61395/1/61395_Modeling%20of%20ANN%20to%20determine%20optimum%20adsorption_complete.pdf http://irep.iium.edu.my/61395/2/61395_Modeling%20of%20ANN%20to%20determine%20optimum%20adsorption_scopus.pdf

id	iium-61395
recordtype	eprints
spelling	iium-613952018-11-01T06:41:21Z http://irep.iium.edu.my/61395/ Modeling of ANN to determine optimum adsorption capacity for removal of pollutants in wastewater Olanrewaju, Rashidah Funke Rehab, Mariam Ahmed, Abdulkadir Adekunle TD Environmental technology. Sanitary engineering TD895 Industrial sanitation. Industrial wastes The rise in wastewater as a source of pollution rank equal to climate change as the most urgent environmental issues currently. The rapidly growing industrialization and urbanization, improper sanitary disposal and household wastewater has contributed to this pollution. Such concerns pose potential risks and hazards towards the public health and animal ecosystems. Meanwhile, the wastewater treatment process involves both physical and chemical process chain which is susceptible to error due to the human factor, variation in the quality of raw water as well as chemical/physical characteristics of such raw materials used. An intelligent method for predicting the optimal adsorption capacity for removal of pollutants in wastewater based on ANN is proposed to reduce the percentage error and obtain optimal treatment efficiency. The primary focus is to identify the operating parameters which affect adsorption capacity. Using the parameters as input factors, the proposed system is trained and tested to obtain an optimal adsorption capacity to remove pollutants. Evaluation and validation of the proposed method on real data depend on the mean absolute error (MAE), mean square error (MSE), root mean square error(RMSE), normalized mean square error(NMSE) and correlation of efficiency. The correlation between the experimental and ANN result is 0.99881 of 1.00000 which indicates that ANN is a perfect match. 10.1109/ICSIMA.2017.8311989 2018-03-09 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/61395/1/61395_Modeling%20of%20ANN%20to%20determine%20optimum%20adsorption_complete.pdf application/pdf en http://irep.iium.edu.my/61395/2/61395_Modeling%20of%20ANN%20to%20determine%20optimum%20adsorption_scopus.pdf Olanrewaju, Rashidah Funke and Rehab, Mariam and Ahmed, Abdulkadir Adekunle (2018) Modeling of ANN to determine optimum adsorption capacity for removal of pollutants in wastewater. In: 4th IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA) 2017, 28th-30th November 2017, Putrajaya. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311989 10.1109/ICSIMA.2017.8311989
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TD Environmental technology. Sanitary engineering TD895 Industrial sanitation. Industrial wastes
spellingShingle	TD Environmental technology. Sanitary engineering TD895 Industrial sanitation. Industrial wastes Olanrewaju, Rashidah Funke Rehab, Mariam Ahmed, Abdulkadir Adekunle Modeling of ANN to determine optimum adsorption capacity for removal of pollutants in wastewater
description	The rise in wastewater as a source of pollution rank equal to climate change as the most urgent environmental issues currently. The rapidly growing industrialization and urbanization, improper sanitary disposal and household wastewater has contributed to this pollution. Such concerns pose potential risks and hazards towards the public health and animal ecosystems. Meanwhile, the wastewater treatment process involves both physical and chemical process chain which is susceptible to error due to the human factor, variation in the quality of raw water as well as chemical/physical characteristics of such raw materials used. An intelligent method for predicting the optimal adsorption capacity for removal of pollutants in wastewater based on ANN is proposed to reduce the percentage error and obtain optimal treatment efficiency. The primary focus is to identify the operating parameters which affect adsorption capacity. Using the parameters as input factors, the proposed system is trained and tested to obtain an optimal adsorption capacity to remove pollutants. Evaluation and validation of the proposed method on real data depend on the mean absolute error (MAE), mean square error (MSE), root mean square error(RMSE), normalized mean square error(NMSE) and correlation of efficiency. The correlation between the experimental and ANN result is 0.99881 of 1.00000 which indicates that ANN is a perfect match.
format	Conference or Workshop Item
author	Olanrewaju, Rashidah Funke Rehab, Mariam Ahmed, Abdulkadir Adekunle
author_facet	Olanrewaju, Rashidah Funke Rehab, Mariam Ahmed, Abdulkadir Adekunle
author_sort	Olanrewaju, Rashidah Funke
title	Modeling of ANN to determine optimum adsorption capacity for removal of pollutants in wastewater
title_short	Modeling of ANN to determine optimum adsorption capacity for removal of pollutants in wastewater
title_full	Modeling of ANN to determine optimum adsorption capacity for removal of pollutants in wastewater
title_fullStr	Modeling of ANN to determine optimum adsorption capacity for removal of pollutants in wastewater
title_full_unstemmed	Modeling of ANN to determine optimum adsorption capacity for removal of pollutants in wastewater
title_sort	modeling of ann to determine optimum adsorption capacity for removal of pollutants in wastewater
publisher	10.1109/ICSIMA.2017.8311989
publishDate	2018
url	http://irep.iium.edu.my/61395/ http://irep.iium.edu.my/61395/ http://irep.iium.edu.my/61395/ http://irep.iium.edu.my/61395/1/61395_Modeling%20of%20ANN%20to%20determine%20optimum%20adsorption_complete.pdf http://irep.iium.edu.my/61395/2/61395_Modeling%20of%20ANN%20to%20determine%20optimum%20adsorption_scopus.pdf
first_indexed	2023-09-18T21:27:05Z
last_indexed	2023-09-18T21:27:05Z
_version_	1777412263748042752

Modeling of ANN to determine optimum adsorption capacity for removal of pollutants in wastewater

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