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
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