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

H Zhang,Y Vagapov

doi:10.1109/eit.2006.252204

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

H Zhang, Y Vagapov

https://doi.org/10.1109/eit.2006.252204

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Publication Date: May 1, 2006

Citations: 18

Affiliation: Glyndwr University

#Least Square Support Vector Machine #Multiway Partial Least Squares + Show 8 more

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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.

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