[1]JI Xiaofu,ZHANG Xiang.Soft measurement of lysine fermentation based on FCM and integrated Gaussian process regression[J].CAAI Transactions on Intelligent Systems,2015,10(1):156-162.[doi:10.3969/j.issn.1673-4785.201310070]
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Soft measurement of lysine fermentation based on FCM and integrated Gaussian process regression

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 10 Number of periods: 2015 1 Page number: 156-162 Column: 学术论文—机器学习 Public date: 2015-03-25
Title:
Soft measurement of lysine fermentation based on FCM and integrated Gaussian process regression
Author(s):
JI Xiaofu;  ZHANG Xiang
School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Keywords:
Gaussian process regression(GPR); fuzzy C-mean clustering (FCM); Adaboost algorithm; L-lysine; soft measurement; Euclidean distance; membership; weighted sum
CLC:
TP274
DOI:
10.3969/j.issn.1673-4785.201310070
Abstract:
In order to solve the problem that cell concentration is difficult to directly measure in the lysine fermentation process, a kind of soft measurement modeling method is proposed on the basis of fuzzy C-mean clustering (FCM) and integrated Gaussian process regression (GPR). The characteristics of typical biological fermentation process can be divided into 4 reaction cycles, including lag phase, exponential growth phase, stable phase, and dead phase. The cluster analysis is conducted for a sample set by applying fuzzy C-mean clustering algorithm, so as to form several sub-sample sets. In order to improve the generalization performance of the GPR, each group is trained through Gaussian Process Regression based on Adaboost and the corresponding integrated sub-models are established. The memberships between each new sample and each group are set as the weights through Euclidean distance and the predicted result is obtained by weighted sum by using typical bacterium of amino acid—L-lysine fermentation as an example. The simulation results showed that compared with the global single GPR model, integrated GPR model and the model based on FCM and multiple GPR, the soft measurement model based on integrated GPR and FCM has high fitting precision. It also had strong generalization ability, which meets the control requirements of lysine fermentation process.
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