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...

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Bibliographic Details

Main Authors:	Abdul Sahli, Fakharudin, Md Nasir, Sulaiman, Jailani, Salihon, Norazwina, Zainol
Format:	Conference or Workshop Item
Language:	en
Published:	Universiti Utara Malaysia 2013
Subjects:	QA76 Computer software T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/28367/1/Implementing%20artificial%20neural%20networks%20and%20genetic%20algorithms.pdf http://umpir.ump.edu.my/id/eprint/28367/ http://www.icoci.cms.net.my/proceedings/2013/PDF/PID88.pdf
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