[Modelling a penicillin fed-batch fermentation using least squares support vector machines].
The biochemical processes are usually characterized as seriously time varying and nonlinear dynamic systems. Building their first-principle models are very costly and difficult due to the absence of inherent mechanism and efficient on-line sensors. Furthermore, these detailed and complicated models do not necessary guarantee a good performance in practice. An approach via least squares support vector machines (LS-SVM) based on Pensim simulator is proposed for modelling the penicillin fed-batch fermentation process, and the adjustment strategy for parameters of LS-SVM is presented. Based on the proposed modelling method, the predictive models of penicillin concentration, biomass concentration and substrate concentration are obtained by using very limited on-line measurements. The results show that the models established are more accurate and efficient, and suffice for the requirements of control and optimization for biochemical processes.
Liu
Yi
Y
National Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China.
Wang
Hai-Qing
HQ
D018533:Biomass; D003198:Computer Simulation; D005285:Fermentation; D016018:Least-Squares Analysis; D008954:Models, Biological; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D010406:Penicillins / Q000032:analysis / Q000096:biosynthesis*
D010406:Penicillins