%0 Journal Article
%T Modelling a Penicillin Fed-batch Fermentation Using Least Squares Support Vector Machines<br>采用最小二乘支持向量机的青霉素发酵过程建模研究
%A LIU Yi
%A WANG Hai-Qing
%A <br>刘毅
%A 王海清
%J 生物工程学报
%D 2006
%I 
%X 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.
%K biochemical modelling
%K support vector machines
%K penicillin fed-batch fermentation
%K on-line predictive model<br>生化建模
%K 支持向量机
%K 青霉素发酵过程
%K 在线预报模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=A66E90C274451689E69F6F0291467824&aid=56D2DE46ABC6F265&yid=37904DC365DD7266&vid=BC12EA701C895178&iid=CA4FD0336C81A37A&sid=3986B25773CB6C30&eid=EB552E4CFC85690B&journal_id=1000-3061&journal_name=生物工程学报&referenced_num=9&reference_num=10