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《Journal of Northeastern University(Natural Science)》 2006-06
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On-Line Estimate of Biomass Concentration in Fermentation Process

SANG Hai-feng,WANG Fu-li,HE Da-kuo,ZHANG Da-peng(School of Information Science & Engineering,Northeastern University,Shenyang 110004,China.)  
In a fermentation process several variables,such as biomass concentration are conventionally determined by off-line laboratory analysis,i.e.,the process control is unavailable to industrial production in time just because of time delay that often makes the analysis results inefficient.In this respect,however,soft sensing is a good solution.Based individually on neural network and LS-SVM(least square support vector machine),two on-line soft sensing models are designed to estimate the biomass concentration,i.e.,the black-box model and hybrid model.The data for model training and verifying are both got from a real experiment process—the fermentation of Nosiheptide which is also used to evaluate the model performance.The results show that the way of soft sensing is good at estimating the biomass concentration,and what's more higher estimating accuracy of hybrid model can be obtained if adding prior knowledge to the model.
【Fund】: 国家自然科学基金资助项目(60374003);; 国家重点基础研究发展规划项目(2002CB312200)
【CateGory Index】: TQ920
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