Hybrid modeling for Nosiheptide fermentation process

被引：0
|
作者：
Sang, Haifeng
Wang, Fuli
Yuan, Weiqi
He, Dakuo
机构：
[1] School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110023, China
[2] School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
来源：
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2007年 / 28卷 / 01期
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中图分类号：
学科分类号：
摘要：
A hybrid modeling scheme was developed for fermentation process, which combines the first principle equation based on mass balance and data based support vector machine model. First principle describes the rough framework of fermentation process. And support vector machine model is used to estimate the unmeasured process parameters that are difficult to model with first principle. Also, an on-line correction strategy was proposed to improve the model's practicality. Applying the proposed modeling scheme to Nosiheptide fermentation process demonstrates that the hybrid modeling has good estimation performance.
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页码：34 / 37
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