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.

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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.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN: 9789832078791 Anjuran: Universiti Utara Malaysia
Uncontrolled Keywords:	neural network, genetic algorithms, modeling, optimisation
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	24 Aug 2014 03:02
Last Modified:	24 Aug 2014 03:02
URI:	https://repo.uum.edu.my/id/eprint/11978

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