本文研究了啤酒酵母和假丝酵母对无机硒的同化能力，结果表明假丝酵母对无机硒的耐受力较强；并且假丝酵母对无机硒的同化能力和菌体产率均高于啤酒酵母．另外还研究了金属元素对假丝酵母同化无机硒及生长的影响，运用神经网络技术，以正交试验法构造训练样本，通过预测与优化，得出培养基中的无机金属元素的最佳含量． In this paper, the assimilation ability of Saccharomyces cerevisiae and Candida to inorganic selenium was studied. The results showed that Candida yeast was more tolerant to inorganic selenium, and the assimilation ability and cell yield of Candida yeast to inorganic selenium were higher than that of beer yeast. In addition, the effect of metal elements on the assimilation of inorganic selenium by Candida albicans was also studied. The neural network technique was used to construct the training samples by orthogonal test. Through the prediction and optimization, the optimum content of inorganic metal elements in the medium was obtained .