Soft-Sensors for Lipid Fermentation Variables Based on PSO Support Vector Machine (PSO-SVM)-Reference-Cited by-同舟云学术

Soft-Sensors for Lipid Fermentation Variables Based on PSO Support Vector Machine (PSO-SVM)

Published:2016 Issue: Volume: Page:175-183
ISSN:2194-5357
Container-title:Distributed Computing and Artificial Intelligence, 13th International Conference
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Author:

Robles-Rodriguez Carlos Eduardo,Bideaux Carine,Roux Gilles,Molina-Jouve Carole,Aceves-Lara Cesar Arturo

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-40162-1_19

Reference14 articles.

1. Wang, X., Chen, J., Liu, C., Pan, F.: Hybrid modeling of penicillin fermentation process based on least square support vector machine. Chem. Eng. Res. Des. 88, 415–420 (2010)

2. Desai, K., Badhe, Y., Tambe, S.S., Kulkarni, B.D.: Soft-sensor development for fed-batch bioreactors using support vector regression. Biochem. Eng. J. 27, 225–239 (2006)

3. Ramkrishna, D.: On modeling of bioreactors for control. J. Process Control 13, 581–589 (2003)

4. Bastin, G., Dochain, D.: On-line Estimation and Adaptive Control of Bioreactors. Elsevier (1990)

5. Vapnik, V., Golowich, S.E., Smola, A.: Support vector method for function approximation, regression estimation, and signal processing. Annu. Conf. Neural Inf. Process. Syst., 281–287 (1996)

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