Rank-based optimal neural network architecture for dissolved oxygen prediction in a 200L bioreactor

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...

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Bibliographic Details
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/
http://psasir.upm.edu.my/id/eprint/64397/1/ENG%20Poster%20111117%204.pdf

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