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Model penicillin fermentation by least squares support vector machine with tuning based on amended harmony search

International Journal of Biomathematics 2015年第3期8卷 175-204页

作者： Hai-Bin Ou Yang Steven Li Ping Zhang College of Information Science and Engineering Northeastern University Shenyang 110819 P. R. China Graduate School of Business and LawRMIT University Melbourne 3000 Australia Anshan Normal University Anshan Liaoning 114005 P. R. China

penicillin fermentation is an important part of microbial fermentation. Due to the existence of error date in the independent variables and dependent variables of the penicillin fermentation sample data, the accuracy of the model of penicillin fermentation is affected. In this paper, an amended harmony search （AHS） algorithm is developed to adjust the hyper-parameters of least squares support vector machine （LS-SVM） in order to build penicillin fermentation process model with prediction accuracy. The AHS algorithm is investigated by unconstrained benchmark functions with different characteristics. Compared with other several optimization approaches, AHS demonstrates a better performance. Moreover, using the simulation data from the PenSim simulation platform to validate the effectiveness of the penicillin fermentation process modeling, experiment results show that the penicillin fermentation process modeling based on the tuned LS-SVM by AHS possesses robustness and generalization ability.

关键词： penicillin fermentation harmony search algorithm LS-SVM penicillin fermentation process model robustness.

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Soft-Sensing of Crucial Biochemical Variables in penicillin fermentation

Soft-Sensing of Crucial Biochemical Variables in Penicillin ...

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第二十九届中国控制会议

作者： CHEN Weiliang,ZHANG Kaifeng,LU Chao,DAI Xianzhong,DING Yuhan Key Laboratory of Measurement and Control of CSE(School of Automation,Southeast University),Ministry of Education,Nanjing,210096,P.R.China

Based on the ANN（Artificial Neural Network）-inversion soft-sensing method,the crucial biochemical variables which can not be directly measured in the penicillin fermentation process are soft-sensed in this ***,the model of the "Assumed Inherent Sensor（AIS）" of the penicillin fermentation process is *** inputs of the AIS are the directly immeasurable variables to be estimated,while the outputs are the directly measurable *** this paper,the improved Birol model is used to construct the model of the ***,the soft-sensor is constructed,which is just the inversion of the *** result reveals that only the biomass concentration X and the substrate concentration S can be soft-sensed,but the penicillin concentration P can not be ***,the validity of the proposed ANN-inversion soft-sensor is verified by the simulation ***,the soft-sensing problem of the penicillin concentration P is *** can be seen that the proposed method is reasonable and reliable compared with other ANN soft-sensing methods.

关键词： Soft-Sensing Assumed Inherent Sensor Inversion ANN penicillin fermentation

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On-line Scheduling Algorithm for penicillin Fed-batch fermentation

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Journal of Donghua University(English Edition) 2005年第5期22卷 43-46页

作者：薛耀锋袁景淇 Department of Automation Shanghai Jiao tong University

An on-line scheduling algorithm to maximize gross profit of penicillin fed-batch fermentation is proposed. According to the on-line classification method, fed-batch fermentation batches are classified into three categories. Using the scheduling strategy, the optimal termination sequence of batches is obtained. Pseudo on-line simulations for testing the proposed algorithm with the data from industrial scale penicillin fermentation are carried out.

关键词： fed-batch process on-line scheduling penicillin fermentation

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