Optimization of neural network architecture using particle swarm algorithm for dissolved oxygen modelling in a 200L bioreactor PHA production
In a polyhydroxyalkanoates (PHA) production, optimized fermentation process helps in reducing overall cost by increasing productivity. Dissolved oxygen (DO) concentration influences growth rate which in turn affect the PHA production rate. Data driven technique using artificial neural network (ANN)...
Main Authors: | Mamat, Nor Hana, Mohd Noor, Samsul Bahari, Che Soh, Azura, Ab Rashid, Ahmad Hazri, Jufika Ahmad, Nur Liyana, Mohd Yusuff, Ishak |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2018
|
Online Access: | http://psasir.upm.edu.my/id/eprint/69133/1/Optimization%20of%20neural%20network%20architecture%20using%20particle%20swarm%20algorithm%20for%20dissolved%20oxygen%20modelling%20in%20a%20200L%20bioreactor%20PHA%20production.pdf |
Similar Items
-
Rank-based optimal neural network architecture for dissolved oxygen prediction in a 200L bioreactor
by: Mamat, Nor Hana, et al.
Published: (2017) -
Particle swarm optimization method in initialization of wavelet neural network model for fed-batch bioprocesses
by: Mamat, Nor Hana, et al.
Published: (2018) -
Kinetics of cellulase production by Aspergillus terreus at various levels of dissolved oxygen tension in a stirred tank bioreactor
by: Shahriarinour, Mahdi, et al.
Published: (2011) -
Development of laboratory scale Cyclic Activated Sludge Bioreactor (CASBio) to enhance aerobic sludge granulation (AGS) and Polyhydroxyalkanoates (PHA) recovery
by: Salim, Mohd. Razman, et al.
Published: (2008) -
Measurement of dissolved oxygen/
by: 220302 Hitchman, Michael L.
Published: (1978)