In the present method,the model parameters were optimized online by using the fast leave-one-out criterion. In addition,an online adaptive model selection strategy for modeling of fermentation processes was developed.
考虑样本间的距离和角度信息以获得更全面合理的相似样本集,推导了采用快速留一法在线优化模型参数的准则,并给出了发酵过程在线自适应模型选择的策略。
参考来源 - 用于发酵过程在线建模的自适应局部最小二乘支持向量机回归方法·2,447,543篇论文数据，部分数据来源于NoteExpress
The application of multiple models predictive function control in continuous fermentation processes and drying fluid-bed is studied.
研究了多模型预测函数控制在连续生化过程和流化床热风温度控制中的应用。
In its simplest form fermentation processes can be just the mixing of microorganisms with a nutrient broth and allowing the components to react.
最简单的发酵过程可以只是把微生物与营养培养基混合，使其中的组分发生反应。
The most important representatives are starch, glycogens, and cellulose. Starch is the most important carbohydrate used on fermentation processes.
最典型的代表是淀粉、糖原和纤维素。
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