Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas 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 set...
Main Authors: | Fakharudin, Abdul Sahli, Sulaiman, Md Nasir, Salihon, Jailani, Zainol, Norazwina |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/11978/1/PID88.pdf |
Similar Items
-
Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production
by: Abdul Sahli, Fakharudin, et al.
Published: (2013) -
Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production
by: Fakharudin, Abdul Sahli, et al.
Published: (2013) -
Modelling and optimisation of oil palm trunk core biodelignification using neural network and genetic algorithm
by: Abdul Sahli, Fakharudin, et al.
Published: (2019) -
Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm
by: Fakharudin, Abdul Sahli
Published: (2017) -
Artificial Neural Network Modelling of Biogas Production Processes
by: Abdul Sahli, Fakharudin, et al.
Published: (2018)