Citation
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).
Abstract
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.
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Official URL or Download Paper: http://www.icoci.cms.net.my/proceedings/2013/PDF/P...
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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Computer Science and Information Technology |
| Publisher: | UUM College of Arts and Sciences, Universiti Utara Malaysia |
| Keywords: | Neural network; Genetic algorithms; Modeling; Optimisation |
| Depositing User: | Nursyafinaz Mohd Noh |
| Date Deposited: | 03 Nov 2015 04:54 |
| Last Modified: | 03 Nov 2015 04:54 |
| URI: | http://psasir.upm.edu.my/id/eprint/41311 |
| Statistic Details: | View Download Statistic |
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