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开发高维机器学习模型,以提高概括能力,克服混合糖发酵模拟数据不足的问题.

Xiao-Yan Huang1, Tian-Jie Ao1, Xue Zhang1

  • 1State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.

Bioresource technology
|June 23, 2023
PubMed
概括

精确的机器学习模型可以促进生物炼油厂的发展. 这项研究提高了混合糖发酵模拟的模型概括性和数据效率,提高了预测准确性和减少了数据需求.

关键词:
人工神经网络的人工神经网络尺寸性 尺寸性是指尺寸性.不够的数据数据不够的数据运动模型的动力模型.机器学习是机器学习.混合糖发酵混合糖发酵的方法

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