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Establishment and Optimization of a Predictive Model for the Growth and Exopolysaccharide Production of Grifola frondosa Based on Support Vector Machine and Genetic Algorithm

XU Li1, ZHOU Liwei2, GUO Wenqiang1, ZHANG Yaping1, CHEN Yan1,*   

  1. 1. School of Life Science, Anhui University, Hefei 230601, China;
    2. School of Tea and Food Science, Anhui Agricultural University, Hefei 230036, China
  • Online:2016-06-15 Published:2016-06-27

Abstract:

To obtain the best medium constituents and culture conditions for maximum production of exopolysaccharides
(EPS) by Grifola frondosa, nonlinear fitting was done using support vector machine (SVM) and the response variables, EPS
production and mycelial biomass, were predicted using genetic algorithm. The results showed that the nonlinear model performed
well in predicting the growth and EPS production of Grifola frondosa. The approach proposed in this study can provide a
significant guideline to control culture conditions and time for the production of desired products by Grifola frondosa.

Key words: support vector machine (SVM), genetic algorithm, fermentation model, Grifola frondosa

CLC Number: