【摘要】 针对马克斯克鲁维酵母菌发酵过程存在高度的复杂性和非线性问题,提出采用模糊支持向量机建立马克斯克鲁维酵母菌的发酵预测模型,通过预测在不同温度、时间、PH值、培养基中葡萄糖含量等因素的影响下细胞生物量的含量,从而寻找该酵母菌最佳的生长发酵条件。Matlab仿真实验结果表明,该方法有效地缩短了训练时间,提高了预测精度和模型的抗噪性,其性能优于一般支持向量机预测模型。更多还原

【Abstract】 Aiming at the complexity and high non-linearity of Kluyveromyces Marxianus fermentation process, fuzzy support vector machine was proposed to pre-estimate the optimal fermentation condition. The prediction model will pre-estimate the cell life-form quantity in the given condition, by doing so can easily find out the optimal fermentation condition. Experiment results showed that our proposed model method has the advantage of quick speed, high precision, simpleness and so on; it also performed more outstandingly than traditional SVM.更多还原