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通过机器学习增强微生物群落管理以实现生物废水处理

Enhancement of microbiome management by machine learning for biological wastewater treatment.

作者信息

Cai Wenfang, Long Fei, Wang Yunhai, Liu Hong, Guo Kun

机构信息

School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, 710049, China.

Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.

出版信息

Microb Biotechnol. 2021 Jan;14(1):59-62. doi: 10.1111/1751-7915.13707. Epub 2020 Nov 22.

DOI:10.1111/1751-7915.13707
PMID:33222377
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7888473/
Abstract

Here, we propose to develop microbiome-based machine learning models to predict the response of biological wastewater treatment systems to environmental or operational disturbances or to design specific microbiomes to achieve a desired system function. These machine learning models can be used to enhance the stability of microbiome-based biological systems and warn against the failure of these systems.

摘要

在此,我们提议开发基于微生物组的机器学习模型,以预测生物废水处理系统对环境或运行干扰的响应,或设计特定的微生物组以实现所需的系统功能。这些机器学习模型可用于增强基于微生物组的生物系统的稳定性,并对这些系统的故障发出警告。

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