Title :
Soft sensor of Lysine fermentation based on fuzzy support vector machines
Author :
Yukun, Sun ; Bo, Wang ; Shenping, Ding
Author_Institution :
Sch. of Electr. & Inf. Eng., JinagSu Univ., Zhenjiang
Abstract :
Fermentation process is a complex nonlinear dynamic coupling process. As it is very difficult to measure the primary biolog parametre online. It limits the advanced control in the biochemical processes. The least-squares support vector machine which used to model the Lysine fermentation process by soft sensor is established. In order to overcome the overfitting problem caused by noises and outliers in support vector machines, a fuzzy membership model based on support vector data decscription is proposed to fuzzify all the training data.Then the model is introduced into least square support vector machines. The simulation example shows that the FLS-SVM could measure the key parameters, which could not be measured online during the course of lysine fermentation, with a high precision.
Keywords :
biochemistry; biotechnology; fermentation; fuzzy set theory; support vector machines; Lysine fermentation; complex nonlinear dynamic coupling process; data domain description; fuzzy membership; fuzzy support vector machines; soft sensor; Amino acids; Biological system modeling; Biosensors; Couplings; Fuzzy control; Lagrangian functions; Least squares methods; Sensor phenomena and characterization; Sun; Support vector machines; Data domain description; Fuzzy membership; Lysine; Soft sensor; Support vector machines;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605297