Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production
This paper proposed a framework to model and optimises a biogas production using artificial neural networks and genetic algorithms. The intelligence computation was applied to achieve a better model and optimisation compared to a mathematical modeling. Two training approaches were used to train a se...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
UUM College of Arts and Sciences, Universiti Utara Malaysia
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/41311/ http://psasir.upm.edu.my/id/eprint/41311/1/41311.pdf |
| _version_ | 1848849661782130688 |
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| author | Fakharudin, Abdul Sahli Sulaiman, Md Nasir Salihon, Jailani Zainol, Norazwina |
| author_facet | Fakharudin, Abdul Sahli Sulaiman, Md Nasir Salihon, Jailani Zainol, Norazwina |
| author_sort | Fakharudin, Abdul Sahli |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper proposed a framework to model and optimises a biogas production using artificial neural networks and genetic algorithms. The intelligence computation was applied to achieve a better model and optimisation compared to a mathematical modeling. Two training approaches were used to train a set of neural networks design. The trained networks model predictions were used to generate a maximum biogas output assisted by genetic algorithms optimisation. The result showed that modeling accuracy with low error will not give a better yield. It also reported a 0.44% increase of maximum biogas yield from the published result. |
| first_indexed | 2025-11-15T09:53:57Z |
| format | Conference or Workshop Item |
| id | upm-41311 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:53:57Z |
| publishDate | 2013 |
| publisher | UUM College of Arts and Sciences, Universiti Utara Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-413112015-11-03T04:54:07Z http://psasir.upm.edu.my/id/eprint/41311/ Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production Fakharudin, Abdul Sahli Sulaiman, Md Nasir Salihon, Jailani Zainol, Norazwina This paper proposed a framework to model and optimises a biogas production using artificial neural networks and genetic algorithms. The intelligence computation was applied to achieve a better model and optimisation compared to a mathematical modeling. Two training approaches were used to train a set of neural networks design. The trained networks model predictions were used to generate a maximum biogas output assisted by genetic algorithms optimisation. The result showed that modeling accuracy with low error will not give a better yield. It also reported a 0.44% increase of maximum biogas yield from the published result. UUM College of Arts and Sciences, Universiti Utara Malaysia 2013 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/41311/1/41311.pdf Fakharudin, Abdul Sahli and Sulaiman, Md Nasir and Salihon, Jailani and Zainol, Norazwina (2013) Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28-30 Aug. 2013, Sarawak, Malaysia. (pp. 121-126). http://www.icoci.cms.net.my/proceedings/2013/PDF/PID88.pdf |
| spellingShingle | Fakharudin, Abdul Sahli Sulaiman, Md Nasir Salihon, Jailani Zainol, Norazwina Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production |
| title | Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production |
| title_full | Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production |
| title_fullStr | Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production |
| title_full_unstemmed | Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production |
| title_short | Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production |
| title_sort | implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production |
| url | http://psasir.upm.edu.my/id/eprint/41311/ http://psasir.upm.edu.my/id/eprint/41311/ http://psasir.upm.edu.my/id/eprint/41311/1/41311.pdf |