Abstract:In order to further increase the production of the cell wall polysaccharides from Saccharomyces cerevisiae and to better understanding of the physiological properties of cell growth,products formation and substrate consumption,the environmental conditions of Saccharomyces cerevisiae were optimized in 5L fermentor.Firstly,the effect of stirrer speed,pH value and temperature on biomass,glucan and mannan production were carefully investigated by single factor experiment,and the optimum fermentation conditions were determined as follows: stirrer speed 400 r/min,pH value 4,temperature 32℃.Experimental models were constructed using BP neural network to train experimental data and the BP models and fitting curves were determined.The predicted values of the models were compared with the experimental values. These models were proved to well simulate the change of biomass,sugar consumption and cell wall polysaccharides production.