Artificial Neural Network Modelling of Biogas Production Processes

Artificial Neural Network Modelling of Biogas Production Processes

Mathematical modelling using regression for the biogas production process was a proven method used until now. Recently the artificial neural network modelling had been used to model the biogas production process to represent it in neural network model. However, the implementation of the artificial n...

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Main Authors: Abdul Sahli, Fakharudin, Md Nasir, Sulaiman, Norwati, Mustapha
Format: Article
Language:English
Published: American Scientific Publisher 2018
Subjects:
QA76 Computer software
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/19752/
http://umpir.ump.edu.my/id/eprint/19752/
http://umpir.ump.edu.my/id/eprint/19752/
http://umpir.ump.edu.my/id/eprint/19752/1/46.%20Artificial%20Neural%20Network%20Modelling%20of%20Biogas%20Production%20Processes1.pdf
id ump-19752
recordtype eprints
spelling ump-197522018-11-22T01:20:11Z http://umpir.ump.edu.my/id/eprint/19752/ Artificial Neural Network Modelling of Biogas Production Processes Abdul Sahli, Fakharudin Md Nasir, Sulaiman Norwati, Mustapha QA76 Computer software TP Chemical technology Mathematical modelling using regression for the biogas production process was a proven method used until now. Recently the artificial neural network modelling had been used to model the biogas production process to represent it in neural network model. However, the implementation of the artificial neural network modelling was limited to its problem and some of the proper implementation, for example testing and validation was not fully addressed. This paper used several data sets to compare the artificial neural network modelling results and comparing it with the previous mathematical modelling results. The results show that the artificial neural network modelling produced better results with higher accuracy and lower error when compared to the mathematical modelling. But some issues need to be addressed such as dataset size and over-training in producing good models to represent the biogas production process. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19752/1/46.%20Artificial%20Neural%20Network%20Modelling%20of%20Biogas%20Production%20Processes1.pdf Abdul Sahli, Fakharudin and Md Nasir, Sulaiman and Norwati, Mustapha (2018) Artificial Neural Network Modelling of Biogas Production Processes. Advanced Science Letters, 24 (10). pp. 7582-7587. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12982 doi: 10.1166/asl.2018.12982
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
TP Chemical technology
spellingShingle QA76 Computer software
TP Chemical technology
Abdul Sahli, Fakharudin
Md Nasir, Sulaiman
Norwati, Mustapha
Artificial Neural Network Modelling of Biogas Production Processes
description Mathematical modelling using regression for the biogas production process was a proven method used until now. Recently the artificial neural network modelling had been used to model the biogas production process to represent it in neural network model. However, the implementation of the artificial neural network modelling was limited to its problem and some of the proper implementation, for example testing and validation was not fully addressed. This paper used several data sets to compare the artificial neural network modelling results and comparing it with the previous mathematical modelling results. The results show that the artificial neural network modelling produced better results with higher accuracy and lower error when compared to the mathematical modelling. But some issues need to be addressed such as dataset size and over-training in producing good models to represent the biogas production process.
format Article
author Abdul Sahli, Fakharudin
Md Nasir, Sulaiman
Norwati, Mustapha
author_facet Abdul Sahli, Fakharudin
Md Nasir, Sulaiman
Norwati, Mustapha
author_sort Abdul Sahli, Fakharudin
title Artificial Neural Network Modelling of Biogas Production Processes
title_short Artificial Neural Network Modelling of Biogas Production Processes
title_full Artificial Neural Network Modelling of Biogas Production Processes
title_fullStr Artificial Neural Network Modelling of Biogas Production Processes
title_full_unstemmed Artificial Neural Network Modelling of Biogas Production Processes
title_sort artificial neural network modelling of biogas production processes
publisher American Scientific Publisher
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/19752/
http://umpir.ump.edu.my/id/eprint/19752/
http://umpir.ump.edu.my/id/eprint/19752/
http://umpir.ump.edu.my/id/eprint/19752/1/46.%20Artificial%20Neural%20Network%20Modelling%20of%20Biogas%20Production%20Processes1.pdf
first_indexed 2023-09-18T22:28:19Z
last_indexed 2023-09-18T22:28:19Z
_version_ 1777416115781107712

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