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Updated: Sep 8, 2025

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使用机器学习的污染检测和减少发酵过程的方法.

Xuan Dung James Nguyen1, Y A Liu2, Christopher C McDowell1,3

  • 1Aspen Tech Center of Excellence in Process System Engineering, Department of Chemical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.

Bioprocess and biosystems engineering
|June 26, 2025
PubMed
概括

本研究引入了用于发酵污染检测的机器学习 (ML). 开发的模型准确地识别了受污染的批量,提高了工艺效率并降低了污染风险.

关键词:
污染 污染 污染 污染发酵过程中的发酵过程.超参数优化超参数优化机器学习 机器学习在SHAP中,特征的重要性.

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