Rank-based optimal neural network architecture for dissolved oxygen prediction in a 200L bioreactor
In a fermentation process, dissolved oxygen (DO) concentration is mostly affected by aeration rate, and agitation speed and temperature. Thus it is beneficial to model the relationship of DO concentration with these variables based on real process data for further use in controller design. Formulati...
Saved in:
Main Authors: | Mamat, Nor Hana, Mohd Noor, Samsul Bahari, Che Soh, Azura, Taip, Farah Saleena, Ab Rashid, Ahmad Hazri, Jufika Ahmad, Nur Liyana, Mohd Yusuff, Ishak |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2017
|
Online Access: | http://psasir.upm.edu.my/id/eprint/64397/1/ENG%20Poster%20111117%204.pdf http://psasir.upm.edu.my/id/eprint/64397/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimization of neural network architecture using particle swarm algorithm for dissolved oxygen modelling in a 200L bioreactor PHA production
by: Mamat, Nor Hana, et al.
Published: (2018) -
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) -
Distributions of temperature and dissolved oxygen in the Terengganu estuary
by: Mohd Nasir Saadon ,, et al.
Published: (2000) -
Distributions of temperature and dissolved oxygen in the Terengganu estuary
by: Saadon, Mohd Nasir, et al.
Published: (2000)