Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas 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 set...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/11978/1/PID88.pdf |
| _version_ | 1825802927217836032 |
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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 |
| collection | UUM |
| 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 | 2024-07-04T05:48:37Z |
| format | Conference or Workshop Item |
| id | uum-11978 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:48:37Z |
| publishDate | 2013 |
| record_format | eprints |
| spelling | uum-119782014-08-24T03:02:43Z https://repo.uum.edu.my/id/eprint/11978/ Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production Fakharudin, Abdul Sahli Sulaiman, Md Nasir Salihon, Jailani Zainol, Norazwina QA76 Computer software 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. 2013-08-28 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/11978/1/PID88.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 blogas production. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia. http://www.icoci.cms.net.my/proceedings/2013/TOC.html |
| spellingShingle | QA76 Computer software Fakharudin, Abdul Sahli Sulaiman, Md Nasir Salihon, Jailani Zainol, Norazwina Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production |
| title | Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production |
| title_full | Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production |
| title_fullStr | Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production |
| title_full_unstemmed | Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production |
| title_short | Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production |
| title_sort | implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/11978/1/PID88.pdf |
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