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...
Main Authors: | Abdul Sahli, Fakharudin, Md Nasir, Sulaiman, Jailani, Salihon, Norazwina, Zainol |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
Universiti Utara Malaysia
2013
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/28367/1/Implementing%20artificial%20neural%20networks%20and%20genetic%20algorithms.pdf |
Similar Items
-
Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production
by: Fakharudin, Abdul Sahli, et al.
Published: (2013) -
Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production
by: Fakharudin, Abdul Sahli, et al.
Published: (2013) -
Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm
by: Fakharudin, Abdul Sahli
Published: (2017) -
Modelling and optimisation of oil palm trunk core biodelignification using neural network and genetic algorithm
by: Abdul Sahli, Fakharudin, et al.
Published: (2019) -
Artificial Neural Network Modelling of Biogas Production Processes
by: Abdul Sahli, Fakharudin, et al.
Published: (2018)