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Authors: Qingqiang Guo 1 ; Yingjia Zhang 1 ; Yuxi Deng 1 and Xiuhong Wang 2

Affiliations: 1 School of Control science and engineering, Shandong University, Jinan 250061 and China, China ; 2 Department of Electronic, Shandong College of Electronic Technology, Jinan 250061 and China, China

Keyword(s): inulinase concentration, support vector machine, leave one out algorithm, particle swarm optimization

Abstract: Based on the least square support vector machine regression, a model is established to predict the inulinase concentration during Pichia pastoris fermentation process, which is more suitable for the situation in which there are more types but less numbers of input variables. To realize parameter optimization, leave one out algorithm and particle swarm optimization algorithm are combined to recognize the model. Leave one out algorithm is used as the target function to minimize the error of cross validation, and particle swarm optimization algorithm is used to search the best parameters. The experimental results show that the proposed model has better prediction accuracy than the soft-sensor based on standard support vector machine. In addition, the proposed parameter optimization method can improve the prediction accuracy significantly.

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Paper citation in several formats:
Guo, Q.; Zhang, Y.; Deng, Y. and Wang, X. (2019). A Soft-sencor and Parameter Optimization for Predicting Inulinase Concentration at Recombinant Pichia Pastoris Fermentation Process. In The Second International Conference on Materials Chemistry and Environmental Protection - MEEP; ISBN 978-989-758-360-5, SciTePress, pages 14-18. DOI: 10.5220/0008184700140018

@conference{meep19,
author={Qingqiang Guo. and Yingjia Zhang. and Yuxi Deng. and Xiuhong Wang.},
title={A Soft-sencor and Parameter Optimization for Predicting Inulinase Concentration at Recombinant Pichia Pastoris Fermentation Process},
booktitle={The Second International Conference on Materials Chemistry and Environmental Protection - MEEP},
year={2019},
pages={14-18},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008184700140018},
isbn={978-989-758-360-5},
}

TY - CONF

JO - The Second International Conference on Materials Chemistry and Environmental Protection - MEEP
TI - A Soft-sencor and Parameter Optimization for Predicting Inulinase Concentration at Recombinant Pichia Pastoris Fermentation Process
SN - 978-989-758-360-5
AU - Guo, Q.
AU - Zhang, Y.
AU - Deng, Y.
AU - Wang, X.
PY - 2019
SP - 14
EP - 18
DO - 10.5220/0008184700140018
PB - SciTePress

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