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Author

Feng Pan

Jiangnan University, China
3 articles in our journals

Articles where this person is an author, newest first. People are matched by their name as printed (no ORCID iD is recorded for them), not by name alone; search the name as text to find namesakes too.

Research ArticleOpen accessMulti-Phase Support Vector Regression Soft Sensor for Online Product Quality Prediction in Glutamate Fermentation ProcessRongjian Zheng, Feng PanGlutamate fermentation is inherently nonlinear, multi-phase and an aerobic fermentation process. As long measurement delays and expensive apparatus cost, on-line measurement of the product concentration is not necessarily available. The present fermentation process monitoring and quality prediction involve manual interpretation of highly informative, however, the concentrations of substrates, biomass and products are only low frequency off-line measurements. In this paper, … …American Journal of Biochemistry and Biotechnology, Vol. 13, Issue 2 · 6 Jun 2017 · 8,067 accessesView PDFCite
Research ArticleOpen accessSoft Sensor Modeling of Product Concentration in Glutamate Fermentation using Gaussian Process RegressionRongjian Zheng, Feng PanThe on-line control of glutamate fermentation process is difficult, owing to the typical uncertainties of biochemical process and the lack of suitable on-line sensors for primary process variables. A prediction model based on Gaussian Process Regression (GPR) is presented to predict glutamate concentration online. First, Partial Least Squares (PLS) is applied to extract the features of the input secondary variables … …American Journal of Biochemistry and Biotechnology, Vol. 12, Issue 3 · 17 Sep 2016 · 7,663 accessesView PDFCite
Research ArticleOpen accessA Soft Sensor Modelling of Biomass Concentration during Fermentation using Accurate Incremental Online v-Support Vector Regression Learning AlgorithmBinjie Gu, Feng PanIn order to model real fermentation process, a soft sensor modelling of biomass concentration during fermentation using accurate incremental online ν-Support Vector Regression (ν-SVR) learning algorithm was proposed. Firstly, an accurate incremental online ν-SVR learning algorithm was proposed. This algorithm solved the two complications introduced in the dual problem based on the equivalent formulation of ν-SVR. Moreover, it addressed the … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 3 · 8 Aug 2015 · 7,327 accessesView PDFCite