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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| Main Authors: | , , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/64397/1/ENG%20Poster%20111117%204.pdf http://psasir.upm.edu.my/id/eprint/64397/ |
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