LS-SVM Based Software Sensor for Fed-batch Yeast Fermentation and Comparative Studies

ZHANG, Hongwei and VAGAPOV, Y. (2006). LS-SVM Based Software Sensor for Fed-batch Yeast Fermentation and Comparative Studies. In: 2006 IEEE International Conference on Electro/Information Technology. IEEE, 564-568. [Book Section]

Abstract
Least square support vector machine (LS-SVM) is a very powerful tool for pattern recognition and function estimation. In this paper, LS-SVM has been used to construct software sensors in an application to a fed-batch yeast fermentation process. Comparisons have been made between results from LS-SVM and software sensors using multiway partial least squares (MPLS) and extended Kalman filters (EKF). The LS-SVM algorithm is introduced firstly and then applied to a yeast fed-batch fermentation process to provide soft-sensing facilities. The soft-sensing capabilities of the LS-SVM approach are found to compare favorably with the results using EKF and MPLS
More Information
Metrics

Altmetric Badge

Dimensions Badge

Share
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Actions (login required)

View Item View Item