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Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production


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: http://repo.uum.edu.my/id/eprint/11978

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